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The year 2024 has witnessed substantial advancements in interventional cardiology, encompassing both coronary and structural interventions.In coronary field, trials have explored percutaneous innovations for coronary lesions, strategies for managing post‑infarction cardiogenic shock and non‑invasive approaches for guiding revascularization. The uploaded guidelines for chronic coronary syndromes emphasize individualized care, integrating modalities such as fractional flow reserve (FFR), intravascular ultrasound (IVUS), optical coherence tomography (OCT) and new teatments, including cochicine, GLP-1 receptor agonists and bempedoic acid. In structural field, recent trials have confirmed the growing efficacy and safety of percutaneous interventions for aortic, mitral and tricuspid valve diseases, while highlighting theimportance of careful patient selection., Competing Interests: J. F. Iglesias déclare des subventions de recherche institutionnelles provenant d’Abbott Vascular, AstraZeneca, Biotronik, Concept Medical, Philips et Terumo Corp., en dehors des travaux soumis ; ainsi que des honoraires de conférencier de la part d’AstraZeneca, Biosensors, Biotronik, Bristol Myers Squibb, Cordis, Concept Medical, Medtronic, Novartis, Terumo Corporation, Pfizer, Philips et ReCor Medical, également en dehors des travaux soumis. M. Roffi déclare des subventions de recherche institutionnelles provenant de Cordis, Terumo, Boston Scientific et Biotronik. S. Noble est proctor pour Medtronic. Research grant par Boston scientific, Abbott vascular, Medronic et Edwards Life Sciences. S. Degrauwe a reçu des subventions de recherche institutionnelles provenant d’Abbott Vascular et Biotronik, en dehors des travaux soumis ; ainsi que des honoraires de conférencière de la part de Biotronik, Cordis et Medtronic, également en dehors des travaux soumis. Les autres auteurs n’ont déclaré aucun conflit d’intérêts en relation avec cet article.

The history of the Czech and Slovak experimental cardiology describes a completely unusual curve. The personality of J.E. Purkynje caused this field to reach unprecedented peak at the very beginning of its modern history. The development of experimental cardiology after the death of the great scholar was certainly not linear. Just when it seemed to be raising its head, the German occupation came. Its second hopeful awakening was delayed for a long time by forty years of isolation. The significant limitation of foreign contacts gradually led to the loss of hopefully developing contacts, to professional isolation and lagging behind the stormy development of world science. At the moment of greatest depression, in 1971, in Prague there was created a professional forum that was supposed to enable its intellectual survival and reduce the negative consequences of the "splendid isolation". The Society of Experimental Cardiology (SEC) was founded at the Czechoslovak Physiological Society of the Czechoslovak Medical Society J.E. Purkynje, with the main task of introducing theoretical and clinical cardiologists to the advances in world cardiology. The first meeting was held in 1973 and in 2023 we celebrated already the 50th anniversary of SEC. Moreover, nowadays we see the increasing interest of the young researchers, both experimental and clinical cardiologists, who consider SEC a very attractive platform for their education and professional growth. Key words: Experimental cardiology, Czech and Slovak Society, History, Relationship to clinical cardiology.

Interventional cardiology is on the cusp of a significant transformation as we approach 2050, driven by emerging trends and groundbreaking technological innovations. This mini review explores the pivotal developments shaping the field, focusing on three key areas: Emerging Trends in Interventional Cardiology, Technological Innovations: The Next Frontier, and the Future Era of Intervention Cardiology from 2024 to 2050. Emerging trends, including advancements in imaging and artificial intelligence, are revolutionizing diagnosis and treatment, allowing for more precise and personalized interventions. Technological innovations, such as robotic-assisted procedures and bioresorbable stents, are redefining the landscape, enhancing procedural accuracy, and expanding access to care through remote interventions. Looking ahead to 2050, we anticipate a future where interventional cardiology is increasingly driven by minimally invasive techniques, AI-driven decision-making, and personalized medicine, offering unprecedented improvements in patient outcomes and reshaping the way cardiovascular diseases are managed., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests that can influence the work reported in this article., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Artificial intelligence has increasingly become an integral part of our daily activities. ChatGPT, a natural language processing technology developed by OpenAI, is widely used in various industries, including healthcare. The application of ChatGPT in healthcare is still evolving, with studies exploring its potential in clinical decision-making, patient education, workflow optimization, and scientific literature. ChatGPT could be exploited in the medical field to improve patient education and information, thus increasing compliance. ChatGPT could facilitate information exchange on major cardiovascular diseases, provide clinical decision support, and improve patient communication and education. It could assist the clinician in differential diagnosis, suggest appropriate imaging modalities, and optimize treatment plans based on evidence-based guidelines. However, it is unclear whether it will be possible to use ChatGPT for the management of patients who require rapid decisions. Indeed, many drawbacks are associated with the daily use of these technologies in the medical field, such as insufficient expertise in specialized fields and a lack of comprehension of the context in which it works. The pros and cons of its use have been explored in this review, which was not written with the help of ChatGPT., (Copyright © 2024 Italian Federation of Cardiology - I.F.C. All rights reserved.)

Competing Interests: Funding Support and Author Disclosures Dr S.C. You has served as the CEO of PHI Digital Healthcare; and received grants from Daiichi-Sankyo. Dr Bikdeli has been supported by a Career Development Award from the American Heart Association and VIVA Physicians (no. 938814), the Scott Schoen and Nancy Adams IGNITE Award, and the Mary Ann Tynan Research Scientist award from the Mary Horrigan Connors Center for Women’s Health and Gender Biology at Brigham and Women’s Hospital and the Heart and Vascular Center Junior Faculty Award from Brigham and Women’s Hospital; has served as a consulting expert, on behalf of the plaintiff, for litigation related to 2 specific brand models of IVC filters (but has not been involved in the litigation in 2022 or 2023 nor received any compensation in 2022 or 2023); and has served as a member of the Medical Advisory Board for the North American Thrombosis Forum and on the Data and Safety Monitory Board of the NAIL-IT trial funded by the National Heart, Lung, and Blood Institute and Translational Sciences. Dr Spatz has received grant funding from the Centers for Disease Control and Prevention (20042801-Sub01), the U.S. Food and Drug Administration to support projects within the Yale-Mayo Clinic Center of Excellence in Regulatory Science and Innovation (U01FD005938), the National Heart, Lung, and Blood Institute (R01HL151240), and the Patient-Centered Outcomes Research Institute (HM-2022C2-28354) (all reported activities are outside of the submitted work). Dr X. Yao has reported that she has no relationships relevant to the contents of this paper to disclose.

Healthcare 4.0 describes the future transformation of the healthcare sector driven by the combination of digital technologies, such as artificial intelligence (AI), big data and the Internet of Medical Things, enabling the advancement of precision medicine. This overview article addresses various areas such as large language models (LLM), diagnostics and robotics, shedding light on the positive aspects of Healthcare 4.0 and showcasing exciting methods and application examples in cardiology. It delves into the broad knowledge base and enormous potential of LLMs, highlighting their immediate benefits as digital assistants or for administrative tasks. In diagnostics, the increasing usefulness of wearables is emphasized and an AI for predicting heart filling pressures based on cardiac magnetic resonance imaging (MRI) is introduced. Additionally, it discusses the revolutionary methodology of a digital simulation of the physical heart (digital twin). Finally, it addresses both regulatory frameworks and a brief vision of data-driven healthcare delivery, explaining the need for investments in technical personnel and infrastructure to achieve a more effective medicine., (© 2024. The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature.)

Myocardial perfusion imaging (MPI), using either single photon emission computed tomography (SPECT) or positron emission tomography (PET), is one of the most commonly ordered cardiac imaging tests, with prominent clinical roles for disease diagnosis and risk prediction. Artificial intelligence (AI) could potentially play a role in many steps along the typical MPI workflow, from image acquisition through to clinical reporting and risk estimation. AI can be utilized to improve image quality, reducing radiation exposure and image acquisition times. Once images are acquired, AI can help optimize motion correction and image registration during image reconstruction or provide direct image attenuation correction. Utilizing these image sets, AI can segment a number of anatomic features from associated computed tomographic imaging or even generate synthetic attenuation imaging. Lastly, AI may play an important role in disease diagnosis or risk prediction by combining the large number of potentially important clinical, stress, and imaging-related variables. This review will focus on the most recent developments in the field, providing clinicians and researchers with a timely update on the field. Additionally, it will discuss future trends including applications of AI during multiple points of the typical MPI workflow to maximize clinical utility and methods to maximize the information that can be obtained from hybrid imaging., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

The 88 th Annual Scientific Meeting of the Japanese Circulation Society (JCS2024) was held from Friday, March 8 th to Sunday, March 10 th in Kobe, Japan. The main theme of this 3-day meeting was "The Future of Cardiology: Challenges in Overcoming Cardiovascular Disease". As COVID-19 has been finally conquered, with revision of its categorization under the Infectious Disease Control Law and relaxation of infection prevention measures, it was once again possible to have face-to-face presentations and lively discussion. JCS2024 was a major success, with 19,209 participants and attendees, thanks to the greatly appreciated cooperation and support from all affiliates.

The development of percutaneous coronary intervention (PCI) has been one of the greatest advances in cardiology and has changed clinical practice for patients with coronary artery disease (CAD). Despite continuous improvements in operators' experience, techniques, and the development of new-generation devices, significant challenges remain in improving the efficacy of PCI, including calcification, bifurcation, multivascular disease, stent restenosis, and stent thrombosis, among others. The present review aims to provide an overview of the current status of knowledge of endovascular revascularization in CAD, including relevant trials, therapeutic strategies, and new technologies addressing particular scenarios that can impact the prognosis of this vulnerable population.

Introduction: Myocardial perfusion imaging (MPI) is one of the most commonly ordered cardiac imaging tests. Accurate motion correction, image registration, and reconstruction are critical for high-quality imaging, but this can be technically challenging and has traditionally relied on expert manual processing. With accurate processing, there is a rich variety of clinical, stress, functional, and anatomic data that can be integrated to guide patient management., Areas Covered: PubMed and Google Scholar were reviewed for articles related to artificial intelligence in nuclear cardiology published between 2020 and 2024. We will outline the prominent roles for artificial intelligence (AI) solutions to provide motion correction, image registration, and reconstruction. We will review the role for AI in extracting anatomic data for hybrid MPI which is otherwise neglected. Lastly, we will discuss AI methods to integrate the wealth of data to improve disease diagnosis or risk stratification., Expert Opinion: There is growing evidence that AI will transform the performance of MPI by automating and improving on aspects of image acquisition and reconstruction. Physicians and researchers will need to understand the potential strengths of AI in order to benefit from the full clinical utility of MPI.

Introduction: Women have been historically underrepresented in Cardiology and its subspecialties. However, limited research has been done to examine the trends of representation of women in cardiology and its subspecialties over time. Our study aims to examine these trends and compare them to other internal medicine subspecialties., Methods: We used data from the Accreditation Council for Graduate Medical Education (ACGME) to conduct a retrospective analysis of the gender trends of cardiology and its subspecialties over a decade from 2013 to 2023. Chi-square statistical testing was used to compare representation percentages across groups. A p-value <0.05 was considered statistically significant., Results: Compared to all internal medicine subspecialties, cardiology and its subspecialties continues to remain the least represented by women. We found a statistically significant increase in women's representation in cardiovascular disease and interventional cardiology. However, there was no statistically significant changes in the representation of women in electrophysiology and advanced heart failure. We have found over the last decade that there was a positive trend in overall women fellows choosing cardiology and its subspecialties, especially since 2018., Conclusion: While strides have been made in increasing the number of female fellows in cardiology, it still lags compared to other internal medicine subspecialties. As we celebrate this minor milestone, it is crucial to emphasize the importance of persistently overcoming obstacles and fostering a supportive environment throughout all training phases to attract, retain, and mentor female trainees., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice and research. The exponential rise in technology powered by AI is defining new frontiers in cardiovascular care, with innovations that span novel diagnostic modalities, new digital native biomarkers of disease, and high-performing tools evaluating care quality and prognosticating clinical outcomes. These digital innovations promise expanded access to cardiovascular screening and monitoring, especially among those without access to high-quality, specialized care historically. Moreover, AI is propelling biological and clinical discoveries that will make future cardiovascular care more personalized, precise, and effective. The review brings together these diverse AI innovations, highlighting developments in multimodal cardiovascular AI across clinical practice and biomedical discovery, and envisioning this new future backed by contemporary science and emerging discoveries. Finally, we define the critical path and the safeguards essential to realizing this AI-enabled future that helps achieve optimal cardiovascular health and outcomes for all., Competing Interests: Funding Support and Author Disclosures This work was supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health (under awards R01HL167858 and K23HL153775 to Dr Khera, F32HL170592 to Dr Oikonomou, R01HL155915 and R01HL167050 to Dr Nadkarni, R01HL158626 to Dr Wiens, and UM1 TR004407 to Dr Topol). Dr Khera is an Associate Editor of JAMA; receives research support, through Yale, from the Blavatnik Foundation, Bristol Myers Squibb, Novo Nordisk, and BridgeBio; is a coinventor of U.S. Provisional Patent Applications 63/177,117, 63/428,569, 63/346,610, 63/484,426, 63/508,315, 63/580,137, 63/606,203, 63/562,335; and is a co-founder of Ensight-AI, Inc and Evidence2Health, LLC. Dr Oikonomou is an academic cofounder of Evidence2Health LLC; has been a consultant for Caristo Diagnostics, Ltd and Ensight-AI, Inc; is a co-inventor in patent applications (US17/720,068, 63/619,241, 63/177,117, 63/580,137, 63/606,203, 63/562,335, WO2018078395A1, WO2020058713A1); and has received royalty fees from technology licensed through the University of Oxford. Dr Nadkarni is an academic cofounder of Renalytix, Pensieve, and Data2Wisdom; has patents licensed to Heart Test Laboratories; and acts as a consultant to Renalytix, Pensieve, and Heart Test Laboratories. Dr Butte is a cofounder and consultant to Personalis and NuMedii; has served as a consultant or advisor to National Institutes of Health, JAMA, Mango Tree Corporation, Samsung, Geisinger Health, Washington University in Saint Louis, University of Utah, and in the recent past, 10x Genomics, Helix, Pathway Genomics, and Verinata (Illumina); has served on paid advisory panels or boards for Regenstrief Institute, Gerson Lehman Group, AlphaSights, Covance, Novartis, Genentech, Merck, and Roche; is a shareholder in Personalis and NuMedii; is a minor shareholder in Apple, Meta (Facebook), Alphabet (Google), Microsoft, Amazon, NVIDIA, AMD, Snap, 10x Genomics, Doximity, Regeneron, Sanofi, Pfizer, Royalty Pharma, Moderna, BioNtech, Invitae, Pacific Biosciences, Editas Medicine, Eli Lilly, Nuna Health, Assay Depot (Scientist.com), Vet24seven, Snowflake, Sophia Genetics, and several other nonhealth-related companies and mutual funds; has received honoraria and travel reimbursement for invited talks from Johnson and Johnson, Roche, Genentech, Pfizer, Merck, Lilly, Takeda, Varian, Mars, Siemens, Optum, Abbott, Celgene, AstraZeneca, AbbVie, Westat, Applied Research Works, Acentrus, ALDA, and many academic institutions, medical- or disease-specific foundations and associations, and health systems; has received royalty payments through Stanford University, for several patents and other disclosures licensed to NuMedii and Personalis; and his research has been funded by the National Institutes of Health, U.S. Food and Drug Administration, Peraton (as the prime on an National Institutes of Health contract), Priscilla Chan and Mark Zuckerberg, the Barbara and Gerson Bakar Foundation, Genentech, Johnson and Johnson, Chan Zuckerberg Science, Robert Wood Johnson Foundation, Leon Lowenstein Foundation, Intervalien Foundation, and in the past, the March of Dimes, Juvenile Diabetes Research Foundation, California Governor’s Office of Planning and Research, California Institute for Regenerative Medicine, L’Oreal, and Progenity (none of these entities had any role in the design, planning, or execution of the study, or interpretation of the findings). Dr Topol is on the scientific advisory board of Tempus, Abridge, and Pheno.ai. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2024 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

It is estimated that by 2050, 17% of the world's population will be greater than 85 years old, which, combined with cardiovascular disease (CVD) being the leading cause of death and disability, sets an unprecedented burden on our health and care systems. This perfect storm will be accompanied by a rise in the prevalence of CVD due to increased survival of patients with pre-existing CVD and the incidence of CVD that is associated with the process of ageing. In this review, we will focus on the diagnosis and management of common CVD conditions in old age, namely: heart failure (HF), coronary artery disease (CAD), atrial fibrillation (AF) and valvular heart disease (VHD). Despite limited evidence, clinical guidelines are increasingly considering the complexity of management of these conditions in the older person, which often coexist, for example, AF and HF or CAD and VHD. Furthermore, they, in turn, need specific consideration in the context of comorbidities, polypharmacy, frailty and impaired cognition found in this age group. Hence, the emerging role of the geriatric cardiologist is therefore vital in performing comprehensive geriatric assessment, attending multidisciplinary team meetings and ultimately considering the patient and the sum of their diseases in their totality. There have been recent advances in CVD management but how we apply these to deliver integrated care to the elderly population is key. This review article aims to bring together emerging studies and guidelines on assessment and management of CVD in the elderly, summarising latest definitions, diagnostics, therapeutics and future challenges., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

In recent years, significant advancements in radiofrequency ablation technology have notably enhanced arrhythmia treatment in cardiology. Technological advancements and increasing clinical adoption have made radiofrequency ablation a key therapy in improving life quality for patients with conditions like atrial fibrillation (AF). Consequently, there has been a marked increase in research output, underscoring the technology's significance and its potential in cardiology. Aims to comprehensively analyze cardiology's radiofrequency ablation research trends, identifying leading countries and institutions in international collaborations, key researchers' contributions, and evolving research hotspots. The study, based on the Web of Science Core Collection database, reviewed the literatures from 2004 to 2023. CiteSpace 6.2.R7 Basic was used for bibliometric analysis, which examined annual publication trends, international collaboration networks, key authors, leading research institutions, major journals, keyword co-occurrence and clustering trends. Analyzing 3423 relevant articles, this study reveals a consistent growth in cardiology radiofrequency ablation research since 2004. The analysis shows that the United States, Germany, and France hold central roles in the international collaboration network, with leading authors from premier US and European institutions. Keyword cluster analysis identifies "atrial flutter" and "ventricular tachycardia" as current research focal points. Cardiology radiofrequency ablation research shows a growth trend, led by the United States and European countries. Research hotspots are concentrated on the diverse applications of radiofrequency ablation technology and the treatment of AF. Future studies may increasingly focus on technological innovation and the deepening of clinical applications., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Purpose To provide a comprehensive head-to-head comparison and temporal analysis of cardiac MRI indications between the European Society of Cardiology (ESC) and American College of Cardiology/American Heart Association (ACC/AHA) guidelines to identify areas of consensus and divergence. Materials and Methods A systematic review and meta-analysis was conducted. ESC and ACC/AHA guidelines published until May 2023 were systematically screened for recommendations related to cardiac MRI. The class of recommendation (COR) and level of evidence (LOE) for cardiac MRI recommendations were compared between the two guidelines and between newer versus older versions of each guideline using χ 2 or Fisher exact tests. Results ESC guidelines included 109 recommendations regarding cardiac MRI, and ACC/AHA guidelines included 90 recommendations. The proportion of COR I and LOE B was higher in ACC/AHA versus ESC guidelines (60% [54 of 90] vs 46.8% [51 of 109]; P = .06 and 53% [48 of 90] vs 35.8% [39 of 109], respectively; P = .01). The increase in the number of cardiac MRI recommendations over time was significantly higher in ESC guidelines (from 63 to 109 for ESC vs from 65 to 90 for ACC/AHA; P = .03). The main areas of consensus were found in heart failure and hypertrophic cardiomyopathy, while the main divergences were in valvular heart disease, arrhythmias, and aortic disease. Conclusion ESC guidelines included more recommendations related to cardiac MRI use, whereas the ACC/AHA recommendations had higher COR and LOE. The number of cardiac MRI recommendations increased significantly over time in both guidelines, indicating the increasing role of cardiac MRI evaluation and management of cardiovascular disease. Keywords: Cardiovascular Magnetic Resonance, Guideline, European Society of Cardiology, ESC, American College of Cardiology/American Heart Association, ACC/AHA Supplemental material is available for this article. © RSNA, 2024.

Purpose of Review: To provide an overview of the impact of virtual and augmented reality in contemporary cardiovascular medical practice., Recent Findings: The utilization of virtual and augmented reality has emerged as an innovative technique in various cardiovascular subspecialties, including interventional adult, pediatric, and adult congenital as well as structural heart disease and heart failure. In particular, electrophysiology has proven valuable for both diagnostic and therapeutic procedures. The incorporation of 3D reconstruction modeling has significantly enhanced our understanding of patient anatomy and morphology, thereby improving diagnostic accuracy and patient outcomes. The interactive modeling of cardiac structure and function within the virtual realm plays a pivotal role in comprehending complex congenital, structural, and coronary pathology. This, in turn, contributes to safer interventions and surgical procedures. Noteworthy applications include septal defect device closure, transcatheter valvular interventions, and left atrial occlusion device implantation. The implementation of virtual reality has been shown to yield cost savings in healthcare, reduce procedure time, minimize radiation exposure, lower intravenous contrast usage, and decrease the extent of anesthesia required. These benefits collectively result in a more efficient and effective approach to patient care., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Evidence from medicine and other fields has shown that gender diversity results in better decision making and outcomes. The incoming workforce of congenital heart specialists (especially in pediatric cardiology) appears to be more gender balanced, but past studies have shown many inequities. Gender-associated differences in leadership positions, opportunities presented for academic advancement, and recognition for academic contributions to the field persist. In addition, compensation packages remain disparate if evaluated based on gender with equivalent experience and expertise. This review explores these inequities and has suggested individual and institutional changes that could be made to recruit and retain women, monitor the climate of the institution, and identify and eliminate bias in areas like salary and promotions.

Competing Interests: Disclosures None.

Cardiology and all its subspecialties continue to push the envelope in developing new treatment strategies for a wide variety of diseases. After screening more than 1300 articles, we highlight a selection of important cardiology articles published in 2023. Starting with prevention, we note articles that look at the effect of semaglutide in patients with obesity as well as a first-in-class drug, bempedoic acid, on cardiovascular outcomes. We have also examined new evidence comparing conservative management with invasive management of frail, older patients with non-ST-segment elevation myocardial infarction (NSTEMI). In patients with cardiac arrest secondary to NSTEMI, another article examines the rationale for expedited transfer to a cardiac arrest center. The STREAM-2 (Strategic Reperfusion in Elderly Patients Early After Myocardial Infarction) trial builds on looking at half-dose thrombolysis in older populations with STEMI. Emphasis is placed on guideline-directed medical therapy before hospital discharge in those with heart failure. In addition, in patients with stable symptomatic coronary artery disease, initial noninvasive testing using coronary computed tomography angiography may be a viable option compared with invasive strategies. More details have emerged on anticoagulation strategies in those with device-detected atrial fibrillation. Finally, transcatheter approaches to treat both mitral and tricuspid regurgitation have also been included., Competing Interests: Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M24-0581.

Competing Interests: Disclosures Dr Bourque is a consultant for GE Healthcare. The other author reports no conflicts.

Competing Interests: Disclosures None.

In 2023, six decades have elapsed since the first experimental work on the heart muscle was published, in which a member of the Institute of Physiology of the Czech Academy of Sciences participated as an author; Professor Otakar Poupa was the founder and protagonist of this research domain. Sixty years - more than half of the century - is certainly significant enough anniversary that is worth looking back and reflecting on what was achieved during sometimes very complicated periods of life. It represents the history of an entire generation of experimental cardiologists; it is possible to learn from its successes and mistakes. The objective of this review is to succinctly illuminate the scientific trajectory of an experimental cardiological department over a 60-year span, from its inaugural publication to the present. The old truth - historia magistra vitae - is still valid. Keywords: Heart, Adaptation, Development, Hypoxia, Protection.

Objective: Open science is a movement and set of practices to conduct research more transparently. Implementing open science will significantly improve public access and supports equity. It also has the potential to foster innovation and reduce duplication through data and materials sharing. Here, we survey an international group of researchers publishing in cardiovascular journals regarding their perceptions and practices related to open science., Methods: We identified the top 100 'Cardiology and Cardiovascular Medicine' subject category journals from the SCImago journal ranking platform. This is a publicly available portal that draws from Scopus. We then extracted the corresponding author's name and email from all articles published in these journals between 1 March 2021 and 1 March 2022. Participants were sent a purpose-built survey about open science. The survey contained primarily multiple choice and scale-based questions for which we report count data and percentages. For the few text-based responses we conducted thematic content analysis., Results: 198 participants responded to our survey. Participants had a mean response of 6.8 (N=197, SD=1.8) on a 9-point scale with endpoints, not at all familiar (1) and extremely familiar (9), when indicating how familiar they were with open science. When asked about where they obtained open science training, most participants indicated this was done on the job self-initiated while conducting research (n=103, 52%), or that they had no formal training with respect to open science (n=72, 36%). More than half of the participants indicated they would benefit from practical support from their institution on how to perform open science practices (N=106, 54%). A diversity of barriers to each of the open science practices presented to participants were acknowledged. Participants indicated that funding was the most essential incentive to adopt open science., Conclusions: It is clear that policy alone will not lead to the effective implementation of open science. This survey serves as a baseline for the cardiovascular research community's open science performance and perception and can be used to inform future interventions and monitoring., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)

This paper aims to thoroughly discuss the impact of artificial intelligence (AI) on clinical practice in interventional cardiology (IC) with special recognition of its most recent advancements. Thus, recent years have been exceptionally abundant in advancements in computational tools, including the development of AI. The application of AI development is currently in its early stages, nevertheless new technologies have proven to be a promising concept, particularly considering IC showing great impact on patient safety, risk stratification and outcomes during the whole therapeutic process. The primary goal is to achieve the integration of multiple cardiac imaging modalities, establish online decision support systems and platforms based on augmented and/or virtual realities, and finally to create automatic medical systems, providing electronic health data on patients. In a simplified way, two main areas of AI utilization in IC may be distinguished, namely, virtual and physical. Consequently, numerous studies have provided data regarding AI utilization in terms of automated interpretation and analysis from various cardiac modalities, including electrocardiogram, echocardiography, angiography, cardiac magnetic resonance imaging, and computed tomography as well as data collected during robotic-assisted percutaneous coronary intervention procedures. Thus, this paper aims to thoroughly discuss the impact of AI on clinical practice in IC with special recognition of its most recent advancements.

Importance: Limited data exist regarding the characteristics of hospitals that do and do not participate in voluntary public reporting programs., Objective: To describe hospital characteristics and trends associated with early participation in the American College of Cardiology (ACC) voluntary reporting program for cardiac catheterization-percutaneous coronary intervention (CathPCI) and implantable cardioverter-defibrillator (ICD) registries., Design, Setting, and Participants: This cross-sectional study analyzed enrollment trends and characteristics of hospitals that did and did not participate in the ACC voluntary public reporting program. All hospitals reporting procedure data to the National Cardiovascular Data Registry (NCDR) CathPCI or ICD registries that were eligible for the public reporting program from July 2014 (ie, program launch date) to May 2017 were included. Stepwise logistic regression was used to identify hospital characteristics associated with voluntary participation. Enrollment trends were evaluated considering the date US News & World Report (USNWR) announced that it would credit participating hospitals. Data analysis was performed from March 2017 to January 2018., Main Outcomes and Measures: Hospital characteristics and participation in the public reporting program., Results: By May 2017, 561 of 1747 eligible hospitals (32.1%) had opted to participate in the program. Enrollment increased from 240 to 376 hospitals (56.7%) 1 month after the USNWR announcement that program participation would be considered as a component of national hospital rankings. Compared with hospitals that did not enroll, program participants had increased median (IQR) procedural volumes for PCI (481 [280-764] procedures vs 332 [186-569] procedures; P < .001) and ICD (114 [56-220] procedures vs 62 [25-124] procedures; P < .001). Compared with nonparticipating hospitals, an increased mean (SD) proportion of participating hospitals adhered to composite discharge medications after PCI (0.96 [0.03] vs 0.92 [0.07]; P < .001) and ICD (0.88 [0.10] vs 0.81 [0.12]; P < .001). Hospital factors associated with enrollment included participation in 5 or more NCDR registries (odds ratio [OR],1.98; 95% CI, 1.24-3.19; P = .005), membership in a larger hospital system (ie, 3-20 hospitals vs ≤2 hospitals in the system: OR, 2.29; 95% CI, 1.65-3.17; P = .001), participation in an NCDR pilot public reporting program of PCI 30-day readmissions (OR, 2.93; 95% CI, 2.19-3.91; P < .001), university affiliation (vs government affiliation: OR, 3.85, 95% CI, 1.03-14.29; P = .045; vs private affiliation: OR, 2.22; 95% CI, 1.35-3.57; P < .001), Midwest location (vs South: OR, 1.47; 95% CI, 1.06-2.08; P = .02), and increased comprehensive quality ranking (4 vs 1-2 performance stars in CathPCI: OR, 8.08; 95% CI, 5.07-12.87; P < .001; 4 vs 1 performance star in ICD: OR, 2.26; 95% CI, 1.48-3.44; P < .001) (C statistic = 0.829)., Conclusions and Relevance: This study found that one-third of eligible hospitals participated in the ACC voluntary public reporting program and that enrollment increased after the announcement that program participation would be considered by USNWR for hospital rankings. Several hospital characteristics, experience with public reporting, and quality of care were associated with increased odds of participation.

Purpose: In a comparator study, designed with assistance from the Food and Drug Administration, a State-of-the-Art (SOTA) ECG device augmented with automated analysis, the comparator, was compared with a breakthrough technology, Cardio-HART (CHART)., Methods: The referral decision defined by physician reading biosignal-based ECG or CHART report were compared for 550 patients, where its performance is calculated against the ground truth referral decision. The ground truth was established by cardiologist consensus based on all the available measurements and findings including echocardiography (ECHO)., Results: The results confirmed that CHART analysis was far more effective than ECG only analysis: CHART reduced false negative rates 15.8% and false positive (FP) rates by 5%, when compared with SOTA ECG devices. General physicians (GP's) using CHART saw their positive diagnosis rate significantly increased, from ~10% to ~26% (260% increase), and the uncertainty rate significantly decreased, from ~31% to ~1.9% (94% decrease). For cardiology, the study showed that in 98% of the cases, the CHART report was found to be a good indicator as to what kind of heart problems can be expected (the 'start-point') in the ECHO examination., Conclusions: The study revealed that GP use of CHART resulted in more accurate referrals for cardiology, resulting in fewer true negative or FP-healthy or mildly abnormal patients not in need of ECHO confirmation. The indirect benefit is the reduction in wait-times and in unnecessary and costly testing in secondary care. Moreover, when used as a start-point, CHART can shorten the echocardiograph examination time., Competing Interests: Competing interests: GBZ: disclosure: consulted for Cardionovum, CrannMed, InnovHeart, Meditrial, Opsens Medical and Replycare. IK: disclosure: Director, UVA research, no other industry connections. TS: no relationships to Industry. ES: no relationship to industry ABS, no relationship to industry., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

The artificial intelligence (AI) revolution is well underway, including in the medical field, and has dramatically transformed our lives. An understanding of the basics of AI applications, their development, and challenges to their clinical implementation is important for clinicians to fully appreciate the possibilities of AI. Such a foundation would ensure that clinicians have a good grasp and realistic expectations for AI in medicine and prevent discrepancies between the promised and real-world impact. When quantifying the track record for AI applications in cardiology, we found that a substantial number of AI systems are never deployed in clinical practice, although there certainly are many success stories. Successful implementations shared the following: they came from clinical areas where large amount of training data was available; were deployable into a single diagnostic modality; prediction models generally had high performance in external validation; and most were developed as part of collaborations with medical device manufacturers who had substantial experience with implementation of new clinical technology. When looking into the current processes used for developing AI-based systems, we suggest that expanding the analytic framework to address potential deployment and implementation issues at project outset will improve the rate of successful implementation, and will be a necessary next step for AI to achieve its full potential in cardiovascular medicine., (Copyright © 2021 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.)

The coronavirus disease 2019 (COVID-19) pandemic has had worldwide repercussions for health care and research. In spring 2020, most non-COVID-19 research was halted, hindering research across the spectrum from laboratory-based experimental science to clinical research. Through the second half of 2020 and the first half of 2021, biomedical research, including cardiovascular science, only gradually restarted, with many restrictions on onsite activities, limited clinical research participation, and the challenges associated with working from home and caregiver responsibilities. Compounding these impediments, much of the global biomedical research infrastructure was redirected toward vaccine testing and deployment. This redirection of supply chains, personnel, and equipment has additionally hampered restoration of normal research activity. Transition to virtual interactions offset some of these limitations but did not adequately replace the need for scientific exchange and collaboration. Here, we outline key steps to reinvigorate biomedical research, including a call for increased support from the National Institutes of Health. We also call on academic institutions, publishers, reviewers, and supervisors to consider the impact of COVID-19 when assessing productivity, recognizing that the pandemic did not affect all equally. We identify trainees and junior investigators, especially those with caregiving roles, as most at risk of being lost from the biomedical workforce and identify steps to reduce the loss of these key investigators. Although the global pandemic highlighted the power of biomedical science to define, treat, and protect against threats to human health, significant investment in the biomedical workforce is required to maintain and promote well-being.