The EAGLE Trial: CADe for Detection of Clinically Relevant Lesions
Dr. Laurence Lovat presents on the EAGLE trial, which evaluated the effectiveness of a cloud-based Computer Aided Detection (CADe) system for detecting clinical relevant lesions during colonoscopy. Can AI assistance be implemented as a supplementary tool to improve adenoma detection rate (ADR) and adenomas per colonoscopy (APC)? Hear considerations when using AI, including workflow changes, alarm management, and the role of the endoscopist.
Olympus, EAGLE trial, CADe for colorectal neoplasia detection, AI in colonoscopy, AI, Laurence Lovat, Colorectal neoplasia detection, cloud-based CADe, endoscopy, gastrointestinal endoscopy, modern colonoscopy, AI-assisted colonoscopy, modern endoscopy, artificial intelligence, colon polyp, colon polyps, CADe, EAGLE, VirtualED, APC, adenomas per colonoscopy, SSL, SSLs, sessile serrated lesions, ADR, adenoma detection rate, colonoscopy, detection latency, colorectal lesions
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