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Lessons learned from translating AI from development to deployment in healthcare

The application of an artificial intelligence (AI)-based screening tool for retinal disease in India and Thailand highlighted the myths and reality of introducing medical AI, which may form a framework for subsequent tools

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Fig. 1: Myths and reality of developing medical AI.

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Acknowledgements

We thank the Google and Verily teams involved in developing, delivering, and improving ARDA. We also thank to C. Chen and M. Howell for manuscript feedback and A. Iurchenko for the illustration concept. Our work was inspired by our partners continuously expanding access to high quality care such as R. Kim and his team at the Aravind Eye Hospital, P. Ruamviboonsuk and his team at the Rajavithi Hospital in Thailand, and J. Cuadros and his team at EyePACS.

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Correspondence to Yun Liu.

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Widner, K., Virmani, S., Krause, J. et al. Lessons learned from translating AI from development to deployment in healthcare. Nat Med 29, 1304–1306 (2023). https://doi.org/10.1038/s41591-023-02293-9

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