首页|Sun Yat-sen University Reports Findings in Artificial Intelligence (Validation o f Artificial Intelligence-based Bowel Preparation Assessment in Screening Colono scopy)
Sun Yat-sen University Reports Findings in Artificial Intelligence (Validation o f Artificial Intelligence-based Bowel Preparation Assessment in Screening Colono scopy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Shenzhe n, People’s Republic of China, by NewsRx journalists, research stated, “Accurate bowel preparation assessment is essential for determining colonoscopy screening intervals. Patients with suboptimal bowel preparation are at a high risk of mis sing >5mm adenomas, and should undergo an early repeat c olonoscopy.” The news reporters obtained a quote from the research from Sun Yat-sen Universit y, “In this study, we employed artificial intelligence (AI) to evaluate bowel pr eparation and validated the ability of the system in accurately identifying pati ents who are at high risk of missing >5mm adenoma due to inadequate bowel preparation. This prospective, single-center, observational st udy was conducted at the Eighth Affiliated Hospital, Sun Yat-sen University from October 8, 2021, to November 9, 2022. Eligible patients underwent screening col onoscopy were consecutively enrolled. The AI assessed bowel preparation using e- Boston Bowel Preparation Scale (BBPS) while endoscopists evaluated using BBPS. I f both BBPS and e-BBPS deemed preparation adequate, the patient immediately unde rwent a second colonoscopy, otherwise the patient underwent bowel re-cleansing b efore the second colonoscopy. Among the 393 patients, 72 > 5mm adenomas were detected, while 27 >5mm adenomas were missed. In unqualified-AI patients, the >5mm AMR was sig nificantly higher than in qualified-AI patients (35.71% vs 13.19% , p=0.0056, OR 0.2734, 95% CI 0.1139, 0.6565), as were the AMR (50 .89% vs 20.79%, p<0.001, OR 0.25 32, 95% CI 0.1583, 0.4052) and >5mm PMR (3 5.82% vs 19.48%, p=0.0152, OR 0.4335, 95% CI 0.2288, 0.8213).”
ShenzhenPeople’s Republic of ChinaAs iaAdenomasArtificial IntelligenceEmerging TechnologiesHealth and Medicin eMachine LearningOncology
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