As artificial intelligence (AI) becomes more embedded in health care, the ability to accurately evaluate AI models is critical. In medical applications, where early diagnosis and anomaly detection are often key, selecting the right performance AI metrics can determine the clinical success or failure of AI tools. If a health care AI tool claims to predict disease risk or guide treatment options, it must be rigorously validated to ensure its outputs are true representations of the medical […]
Evaluating the performance of health care artificial intelligence (AI): the role of AUPRC, AUROC …
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