Journal of Clinical Medicine, Год журнала: 2025, Номер 14(9), С. 3078 - 3078

Опубликована: Апрель 29, 2025

Background: Burn injuries require accurate assessment for effective management, and artificial intelligence (AI) is gaining attention in burn care diagnosis, treatment planning, decision support. This study compares the effectiveness of AI-driven models with experienced plastic surgeons management. Methods: Ten anonymized images varying severity anatomical location were selected from publicly available databases. Three AI systems (ChatGPT-4o, Claude, Kimi AI) analyzed these images, generating clinical descriptions management plans. reviewed same to establish a reference standard evaluated AI-generated recommendations using five-point Likert scale accuracy, relevance, appropriateness. Statistical analyses, including Cohen’s kappa coefficient, assessed inter-rater reliability comparative accuracy. Results: showed high diagnostic agreement clinicians, ChatGPT-4o achieving highest ratings. However, varied specificity, occasionally lacking individualized considerations. Readability scores indicated that outputs more comprehensible than traditional medical literature, though some overly simplistic. coefficient suggested moderate among human evaluators. Conclusions: While demonstrate strong accuracy readability, further refinements are needed improve specificity personalization. highlights AI’s potential as supplementary tool while emphasizing need oversight ensure safe patient care.

Язык: Английский