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大型多模态模型:对低收入和中等收入国家是福祉还是负担。

Large multimodal models: boon or burden for low- and middle-income countries.

作者信息

Malpani Rohit, Moodley Keymanthri

机构信息

World Health Organization, Research for Health Department, Avenue Appia 20, Geneva 1211, Switzerland.

Stellenbosch University, Faculty of Medicine and Health Sciences, Francie van Zijl Drive, Parow, Cape Town 7505, South Africa.

出版信息

Int Health. 2025 Sep 3;17(5):853-855. doi: 10.1093/inthealth/ihae073.

DOI:10.1093/inthealth/ihae073
PMID:39782874
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12406769/
Abstract

Large multimodal models, a type of generative artificial intelligence (AI), could contribute to wider government efforts to achieve universal health coverage if ethical challenges are proactively addressed during the design and deployment of these AI technologies. The World Health Organization has published new guidance to highlight the risks and benefits of large multimodal models and recommendations to effectively govern this technology.

摘要

大型多模态模型是生成式人工智能的一种,如果在这些人工智能技术的设计和部署过程中能够积极应对伦理挑战,那么它们可以为政府实现全民健康覆盖的更广泛努力做出贡献。世界卫生组织发布了新的指南,以突出大型多模态模型的风险和益处,并提出有效管理这项技术的建议。

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本文引用的文献

1
Use of artificial intelligence to address health disparities in low- and middle-income countries: a thematic analysis of ethical issues.利用人工智能解决低收入和中等收入国家的健康差距:伦理问题的主题分析
Public Health. 2024 Sep;234:77-83. doi: 10.1016/j.puhe.2024.05.029. Epub 2024 Jul 3.
2
The Impact of Multimodal Large Language Models on Health Care's Future.多模态大型语言模型对医疗保健未来的影响。
J Med Internet Res. 2023 Nov 2;25:e52865. doi: 10.2196/52865.