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Purpose: To assess the perceptions and attitudes of radiologists toward the adoption of artificial intelligence (AI) in clinical practice., Methods: A survey was conducted among members of the SIRM Lombardy. Radiologists' attitudes were assessed comprehensively, covering satisfaction with AI-based tools, propensity for innovation, and optimism for the future. The questionnaire consisted of two sections: the first gathered demographic and professional information using categorical responses, while the second evaluated radiologists' attitudes toward AI through Likert-type responses ranging from 1 to 5 (with 1 representing extremely negative attitudes, 3 indicating a neutral stance, and 5 reflecting extremely positive attitudes). Questionnaire refinement involved an iterative process with expert panels and a pilot phase to enhance consistency and eliminate redundancy. Exploratory data analysis employed descriptive statistics and visual assessment of Likert plots, supported by non-parametric tests for subgroup comparisons for a thorough analysis of specific emerging patterns., Results: The survey yielded 232 valid responses. The findings reveal a generally optimistic outlook on AI adoption, especially among young radiologist (<30) and seasoned professionals (>60, p<0.01). However, while 36.2 % (84 out 232) of subjects reported daily use of AI-based tools, only a third considered their contribution decisive (30 %, 25 out of 84). AI literacy varied, with a notable proportion feeling inadequately informed (36 %, 84 out of 232), particularly among younger radiologists (46 %, p < 0.01). Positive attitudes towards the potential of AI to improve detection, characterization of anomalies and reduce workload (positive answers > 80 %) and were consistent across subgroups. Radiologists' opinions were more skeptical about the role of AI in enhancing decision-making processes, including the choice of further investigation, and in personalized medicine in general. Overall, respondents recognized AI's significant impact on the radiology profession, viewing it as an opportunity (61 %, 141 out of 232) rather than a threat (18 %, 42 out of 232), with a majority expressing belief in AI's relevance to future radiologists' career choices (60 %, 139 out of 232). However, there were some concerns, particularly among breast radiologists (20 of 232 responders), regarding the potential impact of AI on the profession. Eighty-four percent of the respondents consider the final assessment by the radiologist still to be essential., Conclusion: Our results indicate an overall positive attitude towards the adoption of AI in radiology, though this is moderated by concerns regarding training and practical efficacy. Addressing AI literacy gaps, especially among younger radiologists, is essential. Furthermore, proactively adapting to technological advancements is crucial to fully leverage AI's potential benefits. Despite the generally positive outlook among radiologists, there remains significant work to be done to enhance the integration and widespread use of AI tools in clinical practice., 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 B.V. All rights reserved.)

Artificial Intelligence (AI) algorithms have shown great promise in oncological imaging, outperforming or matching radiologists in retrospective studies, signifying their potential for advanced screening capabilities. These AI tools offer valuable support to radiologists, assisting them in critical tasks such as prioritizing reporting, early cancer detection, and precise measurements, thereby bolstering clinical decision-making. With the healthcare landscape witnessing a surge in imaging requests and a decline in available radiologists, the integration of AI has become increasingly appealing. By streamlining workflow efficiency and enhancing patient care, AI presents a transformative solution to the challenges faced by oncological imaging practices. Nevertheless, successful AI integration necessitates navigating various ethical, regulatory, and medical-legal challenges. This review endeavors to provide a comprehensive overview of these obstacles, aiming to foster a responsible and effective implementation of AI in oncological imaging.

Purpose: In this study we investigate how patients perceive the interaction between artificial intelligence (AI) and radiologists by designing a survey., Method: We created a survey focused on the application of Artificial Intelligence in radiology which consisted of 20 questions distributed in three sections:Only completed questionnaires were considered for analysis., Results: 2119 subjects completed the survey. Among them, 1216 respondents were over 60 years old, showing interest in AI even though they were not digital natives. Although >45% of the respondents reported a high level of education, only 3% said they were AI experts. 87% of respondents favored using AI to support diagnosis but would like to be informed. Only 10% would consult another specialist if their doctor used AI support. Most respondents (76%) said they would not feel comfortable if the diagnosis was made by the AI alone, highlighting the importance of the physician's role in the emotional management of the patient. Finally, 36% of respondents were willing to discuss the topic further in a focus group., Conclusion: Patients' perception of the use of AI in radiology was positive, although still strictly linked to the supervision of the radiologist. Respondents showed interest and willingness to learn more about AI in the medical field, confirming how patients' confidence in AI technology and its acceptance is central to its widespread use in clinical practice., 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 © 2023 Elsevier B.V. All rights reserved.)

Background: The prevalence of parvovirus B19 infection in renal transplantation ranges from 2% to 30%. The age and immune status of the patient influence the severity of the clinical picture. A diagnosis is made by taking as evidence the giant proerythroblasts on a bone marrow sample and the parvovirus B19 viral replication with a polymerase chain reaction (PCR) technique at the blood level. Clinically, parvovirus B19 may appear with fever and severe anemia, which can be followed by pancytopenia and thrombotic microangiopathy in some cases. The literature reports a graft dysfunction rate ranging from 10% to 36%. An infection relapse may happen in 30% of cases., Case Presentation: We report the case of a 33-year-old patient who underwent a kidney transplant in January of 2018. After transplantation, he reached a creatinine value of 1.1 mg/dL and a hemoglobin (Hb) level of 14 g/dL. In April 2019, he developed mycoplasma pneumonia, with signs of hemolytic anemia on bone marrow aspiration. Eventually, he was admitted because of fever, arthralgia, and anemia, with serologic and bone marrow biopsy evidence of red cell aplasia secondary to parvovirus B19 infection. He was treated with 400 mg/kg intravenous immunoglobulin (IVIg) for 10 days; 18 days after the end of treatment, he reached a creatinine value of 1.15 mg/dL, an Hb of 12.5 g/dL, and a reduction of the viral load from 25,000,000 copies/mL to 1,600,000 copies/mL., Conclusions: Anemia with both an aplasic and hemolytic component was successfully treated using immunoglobulin therapy, with a significant fall in the parvovirus B19 viral load., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background: Hemophagocytic lymphohistiocytosis (HLH) is a life-threatening syndrome characterized by an excessive immune activation. HLH can be triggered by a variety of events that disrupt immune homeostasis, such as infections and immunosuppression. HLH presents with heterogeneous clinical symptoms and laboratory findings such as pancytopenia, elevated liver enzymes, impaired renal function, and hyperferritinemia., Case Presentations: Case 1. A 58-year-old man was admitted because of a high fever and diarrhea. Laboratory findings showed acute renal impairment, pancytopenia, Epstein-Barr virus (EBV) DNA seropositivity with a replication index of 2 million copies/mL, and hyperferritinemia. A diagnosis of HLH was confirmed by bone marrow aspiration. He was treated with etoposide, steroids, and rituximab with initial good response and good kidney function restoration. He was discharged after 31 days but eventually died after 44 days after a disease relapse. Case 2. A 51-year-old kidney transplant recipient was admitted because of a fever of unknown origin. A worsening renal function, pancytopenia, EBV DNA of 4,356,222 copies/mL on blood, D-Dimer 7505 ng/mL, ferritinemia 9180.9 ug/L, and triglycerides 1273 mg/dL were found. Bone marrow aspiration was negative for HLH; a few days later, a diagnosis of HLH was made after a positive bone marrow biopsy. Continuous renal replacement therapy was started in the intensive care unit because of severe lactic acidosis due to sepsis. She died few days later., Conclusion: EBV infection could be a trigger for HLH in a renal transplant patient. Hyperferritinemia is useful for differential diagnosis in a septic patient. The outcome is very poor even with prompt treatment., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Research Question: Is it possible, by sperm-washing spermatozoa from clinically HPV-positive men, to obtain spermatozoa free of human papillomavirus (HPV) to be employed in assisted reproduction?, Design: This was an observational study performed on HPV-positive men. Freshly ejaculated semen was collected and readily processed by gradient separation followed by swim-up from the washed pellet. The resulting fractions were seminal plasma, cell pellet, round cells, non-motile spermatozoa and motile spermatozoa. All fractions were then tested for the presence of HPV DNA., Results: Of the 15 clinically HPV-positive subjects, 67% were positive in at least one of the seminal fractions. If any postivity was detected, the plasma was always HPV positive. No consistent pattern was observed throughout different samples in the cell pellet, round cell and non-motile spermatozoa fractions. However, after the sperm-wash procedure, the fraction of motile spermatozoa was never found to be HPV-positive., Conclusions: The sperm-washing technique, which was previously successfully used to remove human immunodeficiency virus, can efficiently remove HPV from spermatozoa. However, the present study was conducted on a small population so a larger follow-up study is recommended. HPV screening should be performed in sperm samples and, upon HPV positivity, sperm-washing should be considered before assisted reproduction techniques are used., (Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The protein product of the myxovirus resistance 2 (MX2) gene restricts HIV-1 and simian retroviruses. We demonstrate that MX2 evolved adaptively in mammals with distinct sites representing selection targets in distinct branches; selection mainly involved residues in loop 4, previously shown to carry antiviral determinants. Modeling data indicated that positively selected sites form a continuous surface on loop 4, which folds into two antiparallel α-helices protruding from the stalk domain. A population genetics-phylogenetics approach indicated that the coding region of MX2 mainly evolved under negative selection in the human lineage. Nonetheless, population genetic analyses demonstrated that natural selection operated on MX2 during the recent history of human populations: distinct selective events drove the frequency increase of two haplotypes in the populations of Asian and European ancestry. The Asian haplotype carries a susceptibility allele for melanoma; the European haplotype is tagged by rs2074560, an intronic variant. Analyses performed on three independent European cohorts of HIV-1-exposed seronegative individuals with different geographic origin and distinct exposure route showed that the ancestral (G) allele of rs2074560 protects from HIV-1 infection with a recessive effect (combined P = 1.55 × 10(-4)). The same allele is associated with lower in vitro HIV-1 replication and increases MX2 expression levels in response to IFN-α. Data herein exploit evolutionary information to identify a novel host determinant of HIV-1 infection susceptibility., (© The Author 2014. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)