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http://dx.doi.org/10.1515/jpm-2023-0279 | DOI Listing |
J Travel Med
January 2025
Infectious Diseases Unit, Sheba Medical Center, Tel HaShomer, Ramat Gan, Israel.
Background: Febrile illness in returned travelers presents a diagnostic challenge in non-endemic settings. Chat generative pretrained transformer (ChatGPT) has the potential to assist in medical tasks, yet its diagnostic performance in clinical settings has rarely been evaluated. We conducted a preliminary validation assessment of ChatGPT-4o's performance in the workup of fever in returning travelers.
View Article and Find Full Text PDFCureus
December 2024
Department of Medicine, Medical Teaching Institution (MTI) Hayatabad Medical Complex, Peshawar, PAK.
Background Chronic diseases such as chronic kidney disease (CKD), chronic liver disease (CLD), tuberculosis (TB), dementia, and heart disease are global health concerns of significant importance, representing major causes of morbidity and mortality worldwide. Early diagnosis and interventions are critical to improve patient outcomes and reduce healthcare costs. Methods This prospective observational study analyzed clinical data from 270 patients (calculated using G*Power 3.
View Article and Find Full Text PDFCureus
December 2024
Trauma and Orthopedics, Lister Hospital, Stevenage, GBR.
Introduction The internet age has broadened the horizons of modern medicine, and the ever-increasing scope of artificial intelligence (AI) has made information about healthcare, common pathologies, and available treatment options much more accessible to the wider population. Patient autonomy relies on clear, accurate, and user-friendly information to give informed consent to an intervention. Our paper aims to outline the quality, readability, and accuracy of readily available information produced by AI relating to common foot and ankle procedures.
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December 2024
Medical Education, ABWA Medical College, Faisalabad, PAK.
Background: The inclusion of artificial intelligence in medical education, specifically through the use of ChatGPT (OpenAI, San Francisco, CA), has transformed learning and generated many ethical questions. This study aims to analyze the medical students' ethical concerns about using ChatGPT in medical education, focusing on privacy, accuracy, and professional integrity.
Methods: The study format was a cross-sectional survey distributed to 219 medical students at ABWA Medical College, Pakistan.
OTO Open
January 2025
Maxillofacial Surgery Operative Unit, Department of Medicine, Surgery and Pharmacy University of Sassari Sassari Italy.
Objective: This study aims to evaluate the impact of prompt construction on the quality of artificial intelligence (AI) chatbot responses in the context of head and neck surgery.
Study Design: Observational and evaluative study.
Setting: An international collaboration involving 16 researchers from 11 European centers specializing in head and neck surgery.
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