Preventing Diagnostic Errors in Healthcare AI with Human-in-the-Loop Annotation
The integration of artificial intelligence into healthcare has moved from a futuristic concept to a daily reality. AI is now assisting with everything from reading radiology scans and pathology slides to flagging high-risk patient records. However, this revolutionary adoption brings a critical ethical and technical challenge: the risk of diagnostic errors AI. A flawed diagnosis …
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