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AI in Healthcare The AI Revolution in Diagnosis

AI in Healthcare The AI Revolution in Diagnosis

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 Twelve million Americans receive wrong diagnoses annually. This episode explores how AI is transforming medical diagnosis by overcoming human limitations like cognitive bias, fatigue, and information overload. Miles examines AI's capabilities in medical imaging, from mammography detecting breast cancer to CT scans spotting lung nodules and FDA-approved systems screening for diabetic retinopathy. Beyond imaging, AI analyzes symptoms and patient histories to identify patterns doctors miss. The episode confronts challenges including the black box problem, false positives, implementation difficulties, and algorithmic bias. IBM Watson's cautionary tale reveals important lessons. The key message: AI augments rather than replaces doctors, handling data processing while humans provide judgment, empathy, and irreplaceable clinical wisdom.
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This content was created in partnership and with the help of Artificial Intelligence AI
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