Condition: Colorectal Polyp · Colorectal Adenoma · Sponsor: Changhai Hospital
Accurate polyp size measurements are essential for risk stratification, selection of polypectomy techniques, and surveillance interval assignments. Evidence indicated that the clinical implementation of artificial intelligence is an optimal tool to improve the measurement of polyps during colonoscopy. This study aimed to evaluate the performance of a computer-aided measuring (CAM) system (EndoDASS) and compare its accuracy with routine sizing methods during real-time colonoscopy.
This description comes directly from the study's public registry record.
Cheng-Long Wang, MD · +86-18257806772 · sunshinewangcl@126.com
Xiang-Yu Sui, MD · +86-19916549745 · sui.xiangyu@hotmail.com
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| Changhai Hospital, Naval Medical University | Shanghai, Shanghai Municipality, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06715384