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Role of Artificial Intelligence-assisted Decision Support Tool for Common Rhythm Disturbances: A ChatGPT Proof-of-concept Study.
J Community Hosp Intern Med Perspect
November 2024
Department of Medicine, Ibn e Seena Hospital, Kabul, Afghanistan.
Background: The objective of this article was to explore the use of ChatGPT as a clinical support tool for common arrhythmias.
Methods: This study assessed the feasibility of using ChatGPT as an AI decision-support tool for common rhythm disturbances. The study was conducted using retrospective data collected from electronic medical records (EMRs) of patients with documented rhythm disturbances.
Matters arising: cost-utility and cost-effectiveness analysis of disease-modifying drugs of relapsing-remitting multiple sclerosis: a systematic review.
Health Econ Rev
January 2025
Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy.
Background: In their interesting systematic review, Gallehzan et al. quoted our article Cost-utility analysis of teriflunomide in naïve vs. previously treated patients with relapsing-remitting multiple sclerosis (RRMS) in Italy.
View Article and Find Full Text PDFExploring extracellular RNA as drivers of chemotherapy resistance in cancer.
Mol Biol Rep
January 2025
Centre for Research Impact & Outcome-Chitkara College of Pharmacy, Chitkara University, Punjab, India.
Chemotherapy resistance (CR) represents one of the most important barriers to effective oncological therapy and often leads to ineffective intervention and unfavorable clinical prognosis. Emerging studies have emphasized the vital significance of extracellular RNA (exRNA) in influencing CR. This thorough assessment intends to explore the multifaceted contributions of exRNA, such as exosomal RNA, microRNAs, long non-coding RNAs, and circular RNAs, to CR in cancer.
View Article and Find Full Text PDFEvaluating the role of generative AI and color patterns in the dissemination of war imagery and disinformation on social media.
Front Artif Intell
January 2025
Alma Sistemi Srl, Rome, Italy.
This study explores the evolving role of social media in the spread of misinformation during the Ukraine-Russia conflict, with a focus on how artificial intelligence (AI) contributes to the creation of deceptive war imagery. Specifically, the research examines the relationship between color patterns (LUTs) in war-related visuals and their perceived authenticity, highlighting the economic, political, and social ramifications of such manipulative practices. AI technologies have significantly advanced the production of highly convincing, yet artificial, war imagery, blurring the line between fact and fiction.
View Article and Find Full Text PDFHealth profession students' perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study.
BMC Med Educ
January 2025
Department of Nursing Sciences, Faculty of Medical and Health Sciences, The Stanley Steyer School of Health Professions, Tel Aviv University, Tel Aviv, Israel.
Objective: The aim of this study was to investigate the perceptions of health profession students regarding ChatGPT use and the potential impact of integrating ChatGPT in healthcare and education.
Background: Artificial Intelligence is increasingly utilized in medical education and clinical profession training. However, since its introduction, ChatGPT remains relatively unexplored in terms of health profession students' acceptance of its use in education and practice.
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