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http://dx.doi.org/10.1007/s00246-025-03794-9 | 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 PDFMol Ther Nucleic Acids
June 2025
[This corrects the article DOI: 10.1016/j.omtn.
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.
Basic Clin Androl
September 2025
Department of Urology, University Hospital Southampton, Southampton, UK.
Background: To compare surgical and long-term patient-reported outcomes (PRO) between excisional (Nesbit) and incisional (Yachia) corporoplasty for correction of uncomplicated Peyronie's-related penile curvature in a large, single-surgeon cohort. A retrospective audit identified men who underwent Nesbit or Yachia corporoplasty (2015-2021). Operative data was extracted from records.
View Article and Find Full Text PDFJ 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.