Why artificial intelligence in medicine cannot replace clinical intuition
Why artificial intelligence in medicine cannot replace clinical intuition
Publish Date: 2026-05-02 17:56:00
Source Domain: kevinmd.com
- The article describes the author’s experience as a senior pediatric resident and highlights the challenges in fully capturing a patient’s health status through documentation alone.
- It discusses the concept of “knowing more than we can tell,” emphasizing that experienced clinicians possess knowledge beyond what can be conveyed through words and the written chart.
- The author critiques large language model artificial intelligence (AI) for being trained on text-based medical data rather than real-world experiences, which may lead to an over-reliance on these models.
- It raises concerns about the potential consequences of adopting clinical AI systems that prioritize structured data, potentially undermining the intuitive insights that come from long-term clinical experience.
- The story concludes with a reflection on the importance of maintaining the clinician’s ability to listen for the “unspoken” cues in a patient’s condition, which are critical for patient care.
