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http://dx.doi.org/10.1007/s00586-023-07535-5 | DOI Listing |
JB JS Open Access
September 2025
Department of Orthopaedic Surgery, St. Luke's University Health Network, Bethlehem, Pennsylvania.
Background: The use of artificial intelligence platforms by medical residents as an educational resource is increasing. Within orthopaedic surgery, older Chat Generative Pre-trained Transformer (ChatGPT) models performed worse than resident physicians on practice examinations and rarely answered questions with images correctly. The newer ChatGPT-4o was designed to improve these deficiencies but has not been evaluated.
View Article and Find Full Text PDFRev Cardiovasc Med
August 2025
Cardiovascular Surgery Department, Ankara Bilkent City Hospital, 06800 Ankara, Turkey.
Background: This study aimed to investigate the performance of two versions of ChatGPT (o1 and 4o) in making decisions about coronary revascularization and to compare the recommendations of these versions with those of a multidisciplinary Heart Team. Moreover, the study aimed to assess whether the decisions generated by ChatGPT, based on the internal knowledge base of the system and clinical guidelines, align with expert recommendations in real-world coronary artery disease management. Given the increasing prevalence and processing capabilities of large language models, such as ChatGPT, this comparison offers insights into the potential applicability of these systems in complex clinical decision-making.
View Article and Find Full Text PDFAlpha Psychiatry
August 2025
Information Sciences and Technology, George Mason University, Fairfax, VA 22030, USA.
Background: Herein, we report on the initial development, progress, and future plans for an autonomous artificial intelligence (AI) system designed to manage major depressive disorder (MDD). The system is a web-based, patient-facing conversational AI that collects medical history, provides presumed diagnosis, recommends treatment, and coordinates care for patients with MDD.
Methods: The system includes seven components, five of which are complete and two are in development.
Cardiovasc Intervent Radiol
September 2025
CardioVascular and Interventional Radiology, Vienna, Austria.
J Prosthet Dent
September 2025
Professor, Department of Prosthodontics, Faculty of Dentistry, Gazi University, Ankara, Turkey.
Statement Of Problem: Despite advances in artificial intelligence (AI), the quality, reliability, and understandability of health-related information provided by chatbots is still a question mark. Furthermore, studies on maxillofacial prosthesis (MP) information from AI chatbots are lacking.
Purpose: The purpose of this study was to assess and compare the reliability, quality, readability, and similarity of responses to MP-related questions generated by 4 different chatbots.