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

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].