Artificial intelligence (AI) is transforming healthcare, increasingly interpreting results from tests like blood work and imaging before human doctors do. Over 1,000 AI tools have received FDA clearance, with two-thirds of physicians using AI in their practices. AI enhances efficiency by drafting notes, suggesting targeted therapies, and flagging abnormalities that may be overlooked by humans. However, studies suggest that reliance on AI can lead to ‘deskilling,’ where clinicians become less observant without AI support. For instance, gastroenterologists who initially used AI for polyp detection later found fewer polyps when relying solely on traditional methods. To maximize AI’s potential, it’s crucial to design Intelligent Choice Architecture (ICA) tools that support clinical judgment rather than replace it. Successful AI implementation should not diminish clinicians’ skills but enhance their critical thinking. The future of medicine lies in the collaboration between healthcare providers and AI, ensuring tools augment human capabilities while maintaining high standards of care.
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