The Lancet Gastroenterology & Hepatology: Routine AI assistance may lead to loss of skills in health professionals who perform colonoscopies, study suggests

(Press-News.org) The Lancet Gastroenterology & Hepatology: Routine AI assistance may lead to loss of skills in health professionals who perform colonoscopies, study suggests  

An observational study of over 1,400 colonoscopies found the rate at which experienced health professionals detect precancerous growths in the colon in non-AI assisted colonoscopies decreased by 20% (from 28.4% to 22.4%) several months after the routine introduction of AI. Several studies have suggested that AI assistance may help doctors identify some cancers, but this is the first study to suggest the implementation of AI could lead to a reduction in the ability of medical professionals and impact health outcomes which are important to patients. Authors highlight the limits due to the observational nature of their study and call for further research into how AI affects healthcare professional’s abilities and ways to prevent loss of skills.  The introduction of artificial intelligence (AI) to assist colonoscopies is linked to a reduction in the ability of endoscopists (health professionals who perform colonoscopies) to detect precancerous growths (adenomas) in the colon without AI assistance, according to a paper published in The Lancet Gastroenterology & Hepatology journal. 

Colonoscopy enables detection and removal of adenomas, leading to prevention of bowel cancer. Numerous trials have shown the use of AI to assist colonoscopies increases the detection of adenomas, generating much enthusiasm for the technology. However, there is a lack of research into how continuous use of AI affects endoscopist skills with suggestions it could be either positive, by training clinicians, or negative, leading to a reduction in skills.  

Author Dr Marcin Romańczyk, Academy of Silesia (Poland), says, “To our knowledge this is the first study to suggest a negative impact of regular AI use on healthcare professionals' ability to complete a patient-relevant task in medicine of any kind. Our results are concerning given the adoption of AI in medicine is rapidly spreading. We urgently need more research into the impact of AI on health professional’s skills across different medical fields. We need to find out which factors may cause or contribute to problems when healthcare professionals and AI systems don’t work well together, and to develop ways to fix or improve these interactions.” 

The study took place at four colonoscopy centres in Poland between September 2021 and March 2022. Regular AI use was introduced at the centres at the end of 2021 after which colonoscopies were randomly done either with or without AI assistance. During this time 1,443 colonoscopies were conducted without AI; 795 before the introduction of regular AI use and 648 after AI implementation. The colonoscopies were performed by 19 experienced endoscopists who had conducted over 2,000 colonoscopies each. 

The average rate of adenoma detection at non-AI assisted colonoscopies significantly decreased from 28.4% (226/795) before AI exposure to 22.4% (145/648) after AI exposure, corresponding to a 20% relative and 6% absolute reduction in adenoma detection rate. In the AI-assisted colonoscopies there was a 25.3% (186/734) adenoma detection rate.

Author Prof Yuichi Mori, University of Oslo (Norway) says, “These results pose an interesting question about previous randomised controlled trials which found AI-assisted colonoscopy enabled a higher adenoma detection rate than non-AI assisted colonoscopy. It could be the case that non-AI assisted colonoscopy assessed in these trials is different from standard non-AI assisted colonoscopy as the endoscopists in the trials may have been negatively affected by continuous AI exposure.” 

The authors acknowledge some limitations, including that the observational nature of the study means that factors other than the implementation of AI use may have influenced the findings. Additionally, as the study was conducted with experienced endoscopists this may limit its generalisation to all endoscopists - further studies with less experienced health professionals are needed to see if long term AI tool use has a larger impact on their ability to detect of adenomas without AI.  

Writing in a linked Comment, Dr Omer Ahmad, University College London, who was not involved in the study, said: "These findings temper the current enthusiasm for rapid adoption of AI based technologies [...] and highlight the importance of carefully considering possible unintended clinical consequences. Although previous experimental studies have alluded to negative modification of behaviour after AI exposure, the study by Budzyń and colleagues provides the first real-world clinical evidence for the phenomenon of deskilling, potentially affecting patient-related outcomes. [...] Although AI continues to offer great promise to enhance clinical outcomes, we must also safeguard against the quiet erosion of fundamental skills required for high-quality endoscopy.”  

NOTES TO EDITORS 
 

This study was funded by the European Commission, Japan Society for the Promotion of Science, and Italian Association for Cancer Research. For a full list of researchers and institutions see the paper. 

Quotes from Authors cannot be found in the text of the Article but have been supplied for the press release. The Comment quote is taken directly from the linked Comment.

The labels have been added to this press release as part of a project run by the Academy of Medical Sciences seeking to improve the communication of evidence. For more information, please see: http://www.sciencemediacentre.org/wp-content/uploads/2018/01/AMS-press-release-labelling-system-GUIDANCE.pdf If you have any questions or feedback, please contact The Lancet press office pressoffice@lancet.com.

END