Sharma Dhananjaya, Agarwal Pawan, Mayol Julio
Professor and Head (Retd), Department of Surgery, NSCB Government Medical College, Jabalpur, Madhya Pradesh, India.
Professor and Head, Department of Plastic Surgery, NSCB Government Medical College, Jabalpur, Madhya Pradesh, India.
Trop Doct. 2025 Jul;55(3):237-239. doi: 10.1177/00494755251343379. Epub 2025 May 15.
Surgeons in LMICs need to navigate resource constraints and require affordable, evidence-based solutions. ChatGPT, a generative AI, offers the potential for real-time, context-specific clinical support. Our study represents the first stage in constructing a ChatGPT-powered surgical assistant tailored for LMICs, focusing on validating an organized database of relevant affordable surgical solutions. A cross-sectional survey via Google Forms was sent to surgeons devoted to resource-limited surgical care. Some 25 previously published surgical solutions were assessed using a Likert scale for: (1) alignment with clinical practice, (2) recommendation for inclusion in guidelines, and (3) clarity of language. A total of 51 surgeons from 22 countries participated; most endorsed the solutions with 2/3 agreeing that they aligned with clinical practice and supported guideline inclusion, and >80% found their language clear. This endorsement supports the relevance and comprehensibility of the selected solutions and provides critical input for developing a ChatGPT-based surgical assistant, enabling tailored practical recommendations for LMIC surgeons.