AI in Colonoscopies: Study Reveals Potential Deskilling Effect on Experienced Endoscopists

August 12, 2025
AI in Colonoscopies: Study Reveals Potential Deskilling Effect on Experienced Endoscopists
  • The findings showed that adenoma detection rates decreased from 28.4% prior to AI exposure to 22.4% after its introduction, while AI-assisted colonoscopies achieved a detection rate of 25.3%.

  • This decline in detection rates suggests a potential 'deskilling' effect, where reliance on AI tools may diminish endoscopists' ability to detect precancerous growths independently.

  • A recent study published in The Lancet Gastroenterology & Hepatology reveals concerning implications of artificial intelligence (AI) use in colonoscopies, particularly a potential deskilling effect among experienced endoscopists.

  • Researchers analyzed 1,442 colonoscopies in Poland, comparing adenoma detection rates before and after the introduction of AI-assisted polyp detection systems in 2021.

  • Omer Ahmad from University College London emphasized the need for performance-monitoring guidelines and educational programs to mitigate the risks of deskilling.

  • The study's results prompt a reevaluation of training paradigms in endoscopy, advocating for new frameworks that balance AI utilization with the preservation of essential procedural skills.

  • Dr. Marcin Romanczyk, a co-author of the study, noted that this research is the first to indicate a negative impact of AI on healthcare professionals' performance in a patient-relevant task.

  • The study's observational design and focus on experienced endoscopists limit its generalizability, highlighting the need for further research involving less experienced professionals.

  • The AI tool in question was designed to identify precancerous polyps, thereby increasing the likelihood of early cancer detection and removal.

  • Overall, the study underscores the importance of examining the interaction between healthcare professionals and AI systems to enhance their collaboration and effectiveness.

  • Cognitive offloading, where specialists depend on AI for critical decision-making, may hinder their visual recognition skills and lead to decreased vigilance.

  • Continuous use of decision support systems like AI could result in diminished motivation and focus among endoscopists when making independent decisions.

Summary based on 11 sources


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