Stage 1 of construction of a ChatGPT-powered surgical assistant for LMICs: Pilot validation of a database of affordable surgical solutions

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.

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Publication Details

Journal
Tropical Doctor
Published
2025-05-15
DOI
https://doi.org/10.1177/00494755251343379
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
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article

Stage 1 of construction of a ChatGPT-powered surgical assistant for LMICs: Pilot validation of a database of affordable surgical solutions

Julio Mayol, Dhananjaya Sharma, Pawan Agarwal
3 citations
Tropical Doctor
Artificial Intelligence in Healthcare and Education
1.96
article

Stage 1 of construction of a ChatGPT-powered surgical assistant for LMICs: Pilot validation of a database of affordable surgical solutions

Julio Mayol, Dhananjaya Sharma, Pawan Agarwal
article en
3 citations

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.

Tropical DoctorVol. 55(3)
Government Medical College (IN), Universidad Complutense de Madrid (ES), Netaji Subhash Chandra Bose Medical College (IN), Hospital Clínico San Carlos (ES), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (ES), Government Medical College (IN)
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare and Education
1.96
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Stage 1 of construction of a ChatGPT-powered surgical assistant for LMICs: Pilot validation of a database of affordable surgical solutions — Julio Mayol, Dhananjaya Sharma, et al. · Tropical Doctor (2025) | TGRS Research Map | TGRS