Surge in large language models exacerbates global regional healthcare inequalities
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On-site, open-source models can lower costs and aid under-resourced regions, but uneven access to high-performance hardware and quality data risks deepening the digital divide.
“While on-site, open-source models can lower costs and aid under-resourced regions – however, uneven access to high-performance hardware and quality data risks deepening the digital divide. 22”
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Cites
Ethical and regulatory challenges of large language models in medicine
Ong, J. C. L., Chang, S. Y.-H., William, W., Butte, A. J., Shah, N. H., Chew, L. S. T., Liu, N., Doshi-Velez, F., Lu, W., Savulescu, J., et al. (2024) · The Lancet Digital Health · doi:10.1016/s2589-7500(24)00061-x · Cited by 342 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- [1]Wang X, Sanders HM, Liu Y, Seang K, Tran BX, Atanasov AG, et al. ChatGPT: promise and challenges for deployment in low- and middle-income countries. Lancet Reg Health - Western Pac. 2023;41:100905. PMC10507635 37731897 · DOI
- [3]Mehandru N, Miao BY, Almaraz ER, Sushil M, Butte AJ, Alaa A. Evaluating large language models as agents in the clinic. Npj Digit Med. 2024;7:84. 38570554 PMC10991271 · DOI · Paper page
- [4]Harris E. Large language models answer medical questions accurately, but can’t match clinicians’ knowledge. JAMA. 2023;330:792. 37548971 · DOI · Paper page
Cited by
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Eminovic, S., Levita, B., Schmidt, R., Lindholz, M., Desser, D., Penzkofer, T., Wattjes, M. P., & Nawabi, J. (2026) · DIGITAL HEALTH · doi:10.1177/20552076261464745
- Authors
- Guo, S.-B., Shen, Y., Meng, Y., Zhou, Z.-Z., Li, H.-L., Cai, X.-Y., Huang, W.-J., & Tian, X.-P.
- Venue
- Journal of Translational Medicine
- Published
- 2025-07-01
- Volume
- 23
- Issue
- 1
- ISSN
- 1479-5876
- PMC
- PMC12211289
- Cited by
- 22
- References
- 1
- Language
- en
- Licence
- Funders
- National Natural Science Foundation of China (82422010, 82370190)
- Guangdong Basic and Applied Basic Research Foundation (2024B1515020026, 2024A1515010185, 2023A1515012282)
- Fundamental Research Funds for the Central Universities, Sun Yat-sen University (24qnpy282)
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