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Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium., , , , , , , , , and 33 other author(s). CoRR, (2024)Machine Learning for Health (ML4H) 2023., , , , , , , , , and 21 other author(s). ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 1-12. PMLR, (2023)Case Studies of AI Policy Development in Africa., , , , , and . CoRR, (2024)Towards a Praxis for Intercultural Ethics in Explainable AI.. CoRR, (2023)"It cannot do all of my work": Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India., , , and . CHI, page 701:1-701:20. ACM, (2021)The Limits of Global Inclusion in AI Development., , , and . CoRR, (2021)Making AI Explainable in the Global South: A Systematic Review., , and . COMPASS, page 439-452. ACM, (2022)AI in the "Real World": Examining the Impact of AI Deployment in Low-Resource Contexts.. CoRR, (2020)Optimizing human-centered AI for healthcare in the Global South.. Patterns, 3 (2): 100421 (2022)The Promise and Perils of Generative AI: Case Studies in an African Context.. AfriCHI, page 266-270. ACM, (2023)