How might advances in machine learning improve healthcare diagnostics?

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Healthcare diagnostics stands to benefit profoundly from machine learning: early detection of diseases via imaging analysis, predictive models for patient risk stratification, and personalized treatment recommendations based on genetic data. What advances excite you most? Have you seen compelling case studies such as AI spotting early cancer markers in radiology scans faster than human experts? What hurdles like data biases, regulatory approval, patient consent need addressing?