Abstract
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.
Keywords
Get full access to this article
View all access options for this article.
References
Supplementary Material
Please find the following supplemental material available below.
For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.
For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.
