<p>Context-sensitive Evaluations of Large Language Models for Maternal Healthcare in LMICs: Key Insights </p>

Henrique A. Lima; Zorays Moazzam; Pedro  Trocolli; Leonardo Rocha; Adriana  Pagano; Felipe F.  Martins; Lucas T.  Brabo; Zilma  Reis; Lisa Keder; Aliya Begum; Marcelo H. Mamede; Timothy M.  Pawlik; Vivian  Resende

doi:10.21955/gatesopenres.1117192.1

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Lima HA, Moazzam Z, Trocolli P et al. Context-sensitive Evaluations of Large Language Models for Maternal Healthcare in LMICs: Key Insights [version 1; not peer reviewed]. Gates Open Res 2025, 9:21 (document) (https://doi.org/10.21955/gatesopenres.1117192.1)

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Discussion

Context-sensitive Evaluations of Large Language Models for Maternal Healthcare in LMICs: Key Insights

Henrique A. Lima¹, Zorays Moazzam², Pedro Trocolli³, Leonardo Rocha⁴, Adriana Pagano⁵, Felipe F. Martins⁶, Lucas T. Brabo⁶, Zilma Reis¹, Lisa Keder ⁷, Aliya Begum⁸, Marcelo H. Mamede¹, Timothy M. Pawlik⁹, Vivian Resende¹

Published 08 May 2025 (https://doi.org/10.21955/gatesopenres.1117192.1)

Author Affiliations

¹ Federal University of Minas Gerais School of Medicine, Belo Horizonte, Brazil
² Henry Ford Hospital, Detroit, Michigan, USA
³ Federal University of Minas Gerais School of Medicine, Belo Horizente, Brazil
⁴ Computer Science Department, Federal University of São João Del-Rei, São João Del-Rei, Brazil
⁵ Federal University of Minas Gerais School of Languages, Belo Horizonte, Brazil
⁶ Asenion, Belo Horizonte, Brazil
⁷ Department of Gynaecology and Obstetrics, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
⁸ Department of Gynaecology and Obstetrics, The Aga Khan University, Karachi, Sindh, Pakistan
⁹ Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA

Copyright © 2025 Lima HA et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 08 May 2025

Discussion

Context-sensitive Evaluations of Large Language Models for Maternal Healthcare in LMICs: Key Insights
[version 1; not peer reviewed]

Author Affiliations

Abstract

Gates Foundation grant number

INV-070496

Competing Interests

No competing interests were disclosed

Keywords

LLM Evaluations, LLM Biases

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Context-sensitive Evaluations of Large Language Models for Maternal Healthcare in LMICs: Key Insights

Discussion

Context-sensitive Evaluations of Large Language Models for Maternal Healthcare in LMICs: Key Insights
[version 1; not peer reviewed]

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Context-sensitive Evaluations of Large Language Models for Maternal Healthcare in LMICs: Key Insights

Discussion Context-sensitive Evaluations of Large Language Models for Maternal Healthcare in LMICs: Key Insights [version 1; not peer reviewed]

Are you a Gates-funded researcher?

Thank you!

Discussion

Context-sensitive Evaluations of Large Language Models for Maternal Healthcare in LMICs: Key Insights
[version 1; not peer reviewed]