Published online Dec 28, 2020. doi: 10.37126/aige.v1.i3.44
Peer-review started: November 1, 2020
First decision: November 25, 2020
Revised: November 29, 2020
Accepted: December 6, 2020
Article in press: December 6, 2020
Published online: December 28, 2020
Processing time: 57 Days and 7.4 Hours
Core Tip: The possibility of obtaining "real-time histology" by endocytoscopy (EC) provides a time-saving and low-cost high-quality diagnosing process. It provides detailed detection and characterizations of gastrointestinal neoplasms, where EC defines the degree of neoplastic cellular transformation by visualizing variation in cell size, disorders of polarity, and nuclei deformity. Moreover, the EC system can evaluate the depth of cancer invasion and predict the therapeutic outcome. In line with this, one of the significant benefits from artificial intelligence (AI)-supported EC is avoiding unnecessary polypectomies and other pathological examinations and reducing redundant surgical procedures. Another major benefit of AI-assisted EC is to ensure enhanced delineation between benign and neoplastic colonic lesions. Furthermore, emerging EC-computer-aided diagnosis provides a novel endoscopic tool that contributes to the dramatic improvement of inflammatory bowel disease diagnosing and management.
