Search

The rapid advancement of artificial intelligence (AI) in healthcare has spurred extensive debate regarding its potential to replace human expertise across various medical specialties. This narrative review critically examines the integration of AI within diverse medical specialties to discern its role as a substitute or supporter. The analysis encompasses AI's impact on diagnostic precision, treatment planning, and patient care. Although AI systems have demonstrated remarkable proficiency in tasks reliant on data analysis and pattern recognition, they fall short in areas necessitating nuanced decision-making, empathetic communication, and the application of human medical expertise in diagnosis and treatment planning. The rapid evolution of AI applications within medical specialties is propelled by the swift advancements in both hardware and software technologies, fostering a dynamic synergy that continues to redefine the boundaries of precision and efficiency in healthcare delivery. While AI demonstrates remarkable capabilities in automating tasks, it is underscored that its integration in complex domains necessitates a balanced approach that preserves the indispensable contributions of human activity.

Objective: Long-term changes in burnout and its predictors in hospital staff during the COVID-19 pandemic were investigated in an international study., Methods: Two online surveys were distributed to hospital staff in seven countries (Germany, Andorra, Ireland, Spain, Italy, Romania, Iran) between May and October 2020 (T1) and between February and April 2021 (T2), using the following variables: Burnout (emotional exhaustion and depersonalization), job function, age, gender, and contact with COVID-19 patients; individual resources (self-compassion, sense of coherence, social support) and work-related resources and demands (support at the workplace, risk perception, health and safety at the workplace, altruistic acceptance of risk). Data were analyzed using linear mixed models repeated measures, controlled for age., Results: A total of 612 respondents were included (76% women). We found an increase in burnout from T1 to T2. Burnout was high among personnel with high contact with COVID-19 patients. Individual factors (self-compassion, sense of coherence) and work-related factors (support at the workplace, risk perception, health and safety at the workplace) showed associations with burnout. Low health and safety at the workplace at T1 was associated with an increase in emotional exhaustion at T2. Men showed an increase in depersonalization if they had much contact with COVID-19 patients., Conclusion: Burnout represents a potential problematic consequence of occupational contact with COVID-19 patients. Special attention should be paid to this group in organizational health management. Self-compassion, sense of coherence, support at the workplace, risk perception, and health and safety at the workplace may be important starting points for interventions., Registration: Müller, M. M. (2020, August 30). Cope-Corona: Identifying and strengthening personal resources of hospital staff to cope with the Corona pandemic. Open Science Foundation., Competing Interests: Declaration of Competing Interest The authors have no competing interests to report., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Belching is defined as an audible escape of air from the esophagus or the stomach into the pharynx. It becomes pathologic if it is excessive and becomes bothersome. According to Rome IV diagnostic criteria, there is a belching disorder when one experiences bothersome belching (severe enough to impact on usual activities) more than 3 days a week. Esophageal impedance can differentiate between gastric and supragastric belching. The aim of this review was to provide data on pathogenesis and diagnosis of supragastric belching and study its relationship with gastroesophageal reflux disease and psychological factors. Treatment options for supragastric belching are also presented., Competing Interests: None

The purpose of this study was to perform a comparative analysis of traditional nursing techniques and autonomous robotic applications used for managing patients with advanced stages of dementia. PubMed, Cochrane Library, EMBASE, and WILEY databases were searched for relevant articles concerning nursing techniques applied in the treatment of patients with advanced dementia. The search terms included: (advanced dementia OR severe dementia) AND [artificial intelligence (AI) OR robotic OR robots OR neural networks OR deep learning OR automated procedures OR autonomous application]. This search identified a total of 2,679 articles and 298 articles were selected. Finally, 23 articles were included in this systematic review, out of which 8 studies analyzed traditional nursing techniques and 15 studies analyzed autonomous robotic applications. Significant evidence was revealed, demonstrating that autonomous robotic applications used for patients with advanced stages of dementia are a feasible, cost-efficient solution and represent an excellent benefit for patients and the healthcare system., Competing Interests: The authors declare that they have no competing interests., (Copyright: © David et al.)

Over recent decades, a new antibiotic crisis has been unfolding due to a decreased research in this domain, a low return of investment for the companies that developed the drug, a lengthy and difficult research process, a low success rate for candidate molecules, an increased use of antibiotics in farms and an overall inappropriate use of antibiotics. This has led to a series of pathogens developing antibiotic resistance, which poses severe threats to public health systems while also driving up the costs of hospitalization and treatment. Moreover, without proper action and collaboration between academic and health institutions, a catastrophic trend might develop, with the possibility of returning to a pre-antibiotic era. Nevertheless, new emerging AI-based technologies have started to enter the field of antibiotic and drug development, offering a new perspective to an ever-growing problem. Cheaper and faster research can be achieved through algorithms that identify hit compounds, thereby further accelerating the development of new antibiotics, which represents a vital step in solving the current antibiotic crisis. The aim of this review is to provide an extended overview of the current artificial intelligence-based technologies that are used for antibiotic discovery, together with their technological and economic impact on the industrial sector.

Background: Eating disorders (ED) involve both the nervous system and the gastrointestinal tract. A similar double involvement is also found in disorders of the brain-gut interaction (DGBI) and symptoms are sometimes similar., Aim: To find out where there is an association and a cause-effect relationship, we looked for the comorbidity of DGBI and ED., Methods: A systematic review was undertaken. A literature search was performed. Inclusion criteria for the articles retained for analysis were: Observational cohort population-based or hospital-based and case-control studies, examining the relationship between DGBI and ED. Exclusion criteria were: Studies written in other languages than English, abstracts, conference presentations, letters to the Editor and editorials. Selected papers by two independent investigators were critically evaluated and included in this review., Results: We found 29 articles analyzing the relation between DGBI and ED comprising 13 articles on gastroparesis, 5 articles on functional dyspepsia, 7 articles about functional constipation and 4 articles on irritable bowel syndrome., Conclusion: There is no evidence for a cause-effect relationship between DGBI and ED. Their common symptomatology requires correct identification and a tailored therapy of each disorder., Competing Interests: Conflict-of-interest statement: No conflict of interest to be declared by all of the Authors., (©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.)

Background & Aims: Irritable bowel syndrome (IBS) is a chronic and disabling gastrointestinal disorder. Although considerable research has underlined the influence of coping mechanisms as the determinants of the quality of life (QOL), only limited data are available regarding the specific coping mechanisms used by IBS patients to manage illness in daily life. Irrational cognitions are known to emerge in stressful situations such as chronic diseases, and it has been proposed to have implications in the QOL. The aim of this study was to explore the relationship between coping styles and irrational beliefs in predicting the effects of IBS symptoms on the health-related QOL (HRQOL)., Methods: A cross-sectional study was performed at two tertiary gastroenterology centers. A sample of 70 consecutive IBS patients and 55 healthy controls was studied. All participants completed the Brief Cope Inventory, the Dysfunctional Attitudes Scale, the Short-Form Health Survey and a demographic questionnaire., Results: All the HRQOL scores of the group with IBS were significantly lower than the HRQOL scores of the healthy group [Pillai's trace V = 0.404, F(8, 116) = 9.833, p < 0.001]. Irritable bowel syndrome patients used more problem-focused coping and avoidant-oriented coping than healthy subjects. The impact of IBS symptoms on HRQOL distress is mediated by irrational beliefs and avoidant oriented coping., Conclusions: Our findings highlight the role of irrational cognition and coping mechanisms in patients with IBS. The results underline the importance of the evaluation of psychological aspects of IBS with the possibility of having more tailored treatments for these patients.

The ZNF804A rs1344706 variant was the first risk factor to be identified through genome-wide association studies and follow-up studies with meta-analysis for schizophrenia as well as bipolar disorders; we investigated 231 schizophrenia and 222 controls to see whether this particular variant was associated with schizophrenia in a Romanian population from Cluj Napoca. Clearly, there was no association between the ZNF804A rs1344706 variant and schizophrenia. Our study provides evidence for those that found no association with schizophrenia. A surprising result of our study was that the T allele frequency is the highest, thus far among the ethnic groups studied. We used a PCR-RFLP method that had been recently developed in our laboratory to the genotype ZNF804A rs1344706 variant. In conclusion, the ZNF804A rs1344706 variant was not associated with schizophrenia in the Romanian population from Cluj Napoca (χ(2)=0.734, p=0.693).