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Toward safer ophthalmic artificial intelligence via distributed validation on real-world data
4
Zitationen
4
Autoren
2023
Jahr
Abstract
Given the criticality of validation to the algorithm pipeline, there is an urgent need for developers, machine learning researchers, and end-user clinicians to devise a consensus approach, allowing for the rapid introduction of safe, equitable, and clinically valid machine learning implementations.
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