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AI Colonoscopy Aid Boosts Lesion Detection but Clinicians’ Solo Performance Drops 20%

Researchers recommend professional guidelines alongside randomized crossover trials to prevent endoscopists losing key diagnostic skills

Overview

  • The AI tool increased immediate adenoma detection when active yet clinicians’ unassisted detection rates declined by roughly 20% compared with pre-AI baselines
  • The observational study tracked outcomes at four Polish endoscopy centres over three months before and after AI deployment with some procedures randomly performed without the aid
  • Nineteen highly experienced endoscopists, each having completed over 2,000 colonoscopies, took part, limiting the generalisability of findings to broader or less seasoned cohorts
  • Study authors warn that reliance on AI likely prompted over-reliance, reducing clinicians’ motivation and focus during unaided procedures and risking deeper de-skilling as AI advances
  • Experts urge preserved non-AI practice sessions, continuous performance monitoring and further randomized trials to balance AI benefits with skill retention