An AI-based assessment before colonoscopy successfully identified individuals at high risk for missed adenomas due to inadequate bowel preparation.
The adenoma missed rate , including lesions > 5 mm, was lower in patients whose precolonoscopy bowel preparation was deemed suitable using an artificial intelligence -guided assessment.This prospective single-center study analyzed the screening colonoscopies of 393 individuals using assessments made by endoscopists and AI.
If the bowel preparation was considered adequate by the endoscopists and qualified by AI, individuals immediately underwent a repeat colonoscopy to assess for any missed lesions; otherwise, they underwent bowel recleansing before a repeat colonoscopy.The > 5-mm AMR was higher in individuals whose bowel preparation was deemed unqualified vs qualified by AI , particularly in the cecum , ascending colon , transverse colon , and descending colon .
Artificial Intelligence Deep Learning AI NPL Machine Learning ML Natural Language Processing Artificial Neural Networks Healthcare And Medical Technology Health And Medical Tech Health And Med Tech Health And Medical Technology Healthcare Technology Medical Technology Colonoscopy Preventive Screening Screening Polyp
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