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A framework for evaluating clinical artificial intelligence systems without ground-truth annotations

Medicine and Health

A framework for evaluating clinical artificial intelligence systems without ground-truth annotations

D. Kiyasseh, A. Cohen, et al.

Discover how SUDO, developed by Dani Kiyasseh, Aaron Cohen, Chengsheng Jiang, and Nicholas Altieri, is revolutionizing the evaluation of clinical AI systems. This innovative framework leverages real-world data to highlight unreliable predictions and biases, paving the way for the ethical deployment of AI in medicine.... show more
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Citations
15
Influential Citations
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Reference Count
38
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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