Copyright: ©Author(s) 2026.
World J Gastrointest Endosc. Nov 16, 2026; 18(11): 126153
Published online Nov 16, 2026. doi: 10.4253/wjge.126153
Published online Nov 16, 2026. doi: 10.4253/wjge.126153
Figure 3 Artificial intelligence-assisted endoscopic documentation and report generation pathway.
The figure illustrates a clinician-supervised documentation pathway rather than a fully automated real-time final reporting system. AI-generated draft reports and follow-up suggestions require clinician review before clinical use. Follow-up recommendations should be determined according to confirmed pathology, applicable clinical guidelines, and patient-specific factors. This is an author-proposed conceptual framework intended for illustration and does not represent a validated clinical pathway or clinical guideline.
- Citation: He HW, Chan IN, Qin YY, Yan T, Wong PK. Multimodal artificial intelligence and large language models in gastrointestinal endoscopy: From lesion detection to workflow-integrated report generation. World J Gastrointest Endosc 2026; 18(11): 126153
- URL: https://www.wjgnet.com/1948-5190/full/v18/i11/126153.htm
- DOI: https://dx.doi.org/10.4253/wjge.126153