ID: 3523387 EFFICACY OF REAL-TIME COMPUTER AIDED DETECTION OF COLORECTAL NEOPLASIA IN A NON-EXPERT SETTING: A RANDOMIZED CONTROLLED TRIAL

Volume: 93, Issue: 6, Pages: AB83 - AB83
Published: Jun 1, 2021
Abstract
Background & aims: One-fourth of colorectal neoplasias are missed during screening colonoscopies; these can develop into colorectal cancer (CRC). Several deep learning based real-time computer-aided detection (CADe) systems proved their efficacy in improving the performance of expert endoscopists in neoplasia detection. We performed a multicenter, randomized trial to assess the efficacy of a CADe system in detection of colorectal neoplasias in a...
Paper Details
Title
ID: 3523387 EFFICACY OF REAL-TIME COMPUTER AIDED DETECTION OF COLORECTAL NEOPLASIA IN A NON-EXPERT SETTING: A RANDOMIZED CONTROLLED TRIAL
Published Date
Jun 1, 2021
Volume
93
Issue
6
Pages
AB83 - AB83
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