Work

Integrating Artificial Intelligence Into Endoscopy Education: Evidence, Gaps, and Future Directions

Year: 2026

Type: article

Abstract: We read with great interest the comprehensive review by Ho et al. [1] summarizing artificial intelligence (AI) applications in endoscopy training.The collated randomized and prospective data provide useful benchmarks for educators.Notably, computer-aided detection (CADe) improved overall adenoma detection among trainees (57.5% vs. 44.5%;absolute +13.0%) and increased adenoma detection in beginners (60.0% vs. 41.9%;adjusted relative risk [RR] 1.58, i.e., ~58% relative increase), demonstrating a clear short-term training benefit [2].Earlier multicenter work similarly showed higher adenoma detection rate (ADR) with CADe (54.8% vs. 40.4%)[3].

Source: Digestive Endoscopy

DOI: 10.1111/den.70114

Authors: Weihao Cheng, Shangxuan Li, Zekai Yu

Institutions: Hangzhou Dianzi University, Suzhou Municipal Hospital, Nanjing Medical University

Language: English

Topic: Surgical Simulation and Training

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Quality education

Open Access status: bronze

OpenAlex ID: W7127370476

FWCI:

Cites: 5

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