The AI Doctor Problem: Why Healthcare AI Still Needs Proof
Artificial intelligence is rapidly entering healthcare, from medical imaging and disease prediction to clinical decision support and drug development. But growing adoption is raising a critical question: does an AI system that performs well in testing actually improve patient care? Experts increasingly argue that technical accuracy alone is not enough. Healthcare AI must demonstrate safety, reliability and real-world clinical value. As these tools become more powerful, doctors, hospitals and regulators are demanding stronger evidence before allowing AI to influence important medical decisions.
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