\u201cOur results are concerning, given that the adoption of AI in medicine is rapidly spreading,\u201d said Marcin Roma\u0144czyk of the Academy of Silesia, one of the researchers. \u201cTo our knowledge this is the first study to suggest a negative impact of regular AI use on healthcare<\/a> professionals\u2019 ability to complete a patient-relevant task in medicine.\u201d <\/p>\n AI highlights potentially precancerous tissue \u2014 adenomas or polyps \u2014 in the colon of patients undergoing endoscopy. It is one of the fastest growing medical applications of AI<\/a>, with enthusiasm for the technology driven by several clinical trials showing that AI assistance substantially improved detection rates.<\/p>\n Yuichi Mori of the University of Oslo, a co-author of the Polish study, said it called into question the findings of earlier trials that compared colonoscopy with and without AI assistance, \u201cas the endoscopists may have been negatively affected by continuous AI exposure\u201d.<\/p>\n Omer Ahmad, consultant gastroenterologist at University College Hospital, London who was not involved in the study, called the results \u201castounding\u201d. He said other research had shown a 1 per cent increase in colonoscopy detection rate correlated with a 3 per cent reduction in colorectal cancer, \u201cso a decline in detection from 28.4 to 22.4 per cent could be very significant on a population level\u201d.<\/p>\n Ahmad, who has worked on medical AI systems for eight years, said: \u201cI am still enthusiastic about AI and I\u2019ve seen great benefits in my own practice but the endoscopy community would be unwise to ignore the key findings of this study. We must be more mindful about implementation in real world practice.\u201d<\/p>\n Recommended<\/p>\n
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