Artificial Intelligence-assisted Optical Diagnosis for the Resect-and-discard Strategy in Clinical Practice in Non-academic Hospitals: a Randomized Controlled Study
Artificial Intelligence-assisted Optical Diagnosis for the Resect-and-discard Strategy in Clinical Practice in Non-academic Hospitals: a Randomized Controlled Study
To validate the feasibility of promoting colorectal diminutive polyp "predict, resect, and discard" and "diagnose and leave" strategies for non-experts in general hospitals through CADx system.
This study will: (1) develop and refine a deep learning model for optical diagnosis of diminutive colorectal polyps-predicting histologic type and the presence of advanced adenoma components-based on multicenter endoscopic videos; (2) conduct a randomized controlled study recruiting endoscopists from different regions and experience levels nationwide to evaluate, with or without access to the model's diagnostic output, the success rates of implementing the "resect and discard" and "diagnose and leave" strategies as well as identifying advanced adenoma components; and (3) carry out a prospective randomized controlled trial to assess the benefits of a real-time AI-assisted endoscopic system in facilitating endoscopists' implementation of the "resect and discard" and "diagnose and leave" strategies for diminutive colorectal polyps.
Inclusion Criteria:
Exclusion Criteria:
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