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
Table 2 Representative clinical and diagnostic-validation studies of artificial intelligence across gastrointestinal endoscopy tasks and workflows
| Ref. | Region/setting | Population/sample size | AI function | Study design/comparator | Evaluation unit | Key findings | Validation/main limitation |
| Wang et al[7], 2019 | China; colonoscopy | 1058 patients; 522 CADe, 536 control | Real-time CADe | Prospective randomized trial; CADe vs standard colonoscopy | Patient | ADR: 29.1% vs 20.3%; adenomas/patient: 0.53 vs 0.31 | Single-center, non-blinded trial; benefit mainly driven by diminutive adenomas |
| Byrne et al[8], 2019 | Colonoscopy video | 125 diminutive-polyp videos; 106 analyzed | CADx for adenoma vs hyperplastic polyp | Independent video test set; histopathology reference | Lesion/video | Sensitivity: 98%; specificity: 83%; accuracy: 94%; NPV: 97% | Offline video evaluation; 19/125 lesions lacked sufficient prediction confidence; no live clinical trial |
| Wu et al[9], 2019 | China; EGD | 324 randomized; 303 analyzed | WISENSE blind-spot monitoring | RCT; WISENSE-assisted vs conventional EGD | Patient/procedure | Blind spot rate: 5.86% vs 22.46%, P < 0.001 | Single-center trial; procedure-quality endpoint |
| Gong et al[23], 2020 | China; colonoscopy | 704 randomized; 355 ENDOANGEL, 349 control | Real-time CADe/withdrawal-quality support | Randomized trial; ENDOANGEL vs unassisted colonoscopy | Patient | ADR: 16% vs 8%; odds ratio: 2.3, P = 0.001 | Single-center study; relatively low baseline ADR |
| Wang et al[24], 2020 | China; colonoscopy | 1010 randomized; 962 analyzed | Real-time CADe | Double-blind randomized trial; CADe vs sham system | Patient | ADR: 34% vs 28%; odds ratio: 1.36, P = 0.03 | Single-center; interval-CRC benefit not evaluated |
| Repici et al[25], 2020 | Italy; colonoscopy | 685 participants; 341 CADe, 344 control | GI Genius CADe | Multicenter randomized trial; CADe vs standard colonoscopy | Patient/procedure | ADR: 54.8% vs 40.4%; APC: 1.07 vs 0.71 | Multicenter clinical evidence; no long-term cancer-outcome assessment |
| Shaukat et al[26], 2022 | United States; screening/surveillance colonoscopy | 1359 analyzed; 682 CADe, 677 standard | SKOUT CADe | Multicenter randomized trial; CADe vs standard colonoscopy | Patient/procedure | ADR: 47.8% vs 43.9%, P = 0.065; APC: 1.05 vs 0.83, P = 0.002 | Multicenter United States evidence; ADR difference not statistically significant |
| Spada et al[36], 2024 | 14 European centers; small-bowel CE | 137 enrolled; 133 analyzed | AI-assisted capsule reading | Prospective multicenter paired comparison; AI-assisted vs standard reading | Patient | Diagnostic yield: 73.7% vs 62.4%; reading time: 3.8 minutes vs 33.7 minutes | Strong workflow benefit; downstream management and clinical outcomes not evaluated |
| Seager et al[27], 2024 | United Kingdom; 12 NHS hospitals | 2032 randomized | GI Genius CADe | Pragmatic multicenter RCT; CADe vs standard colonoscopy | Patient/procedure | Adenomas/procedure: 1.56 vs 1.21; ADR: 56.6% vs 48.4% | Strong routine-practice evidence; open-label design |
| Maas et al[28], 2024 | Europe/Canada; 7 centers | 581 enrolled; 497 analyzed | CADe | International randomized trial; CADe vs conventional colonoscopy | Patient/procedure | ADR: 38.4% vs 37.7%; APC: 0.66 vs 0.66 | Experienced endoscopists; not statistically significant |
| Yao et al[47], 2024 | China; screening colonoscopy | 393 patients | AI bowel-preparation assessment | Prospective observational validation; AI e-BBPS with tandem colonoscopy outcome assessment | Patient/procedure | > 5-mm AMR: 35.71% in unqualified-AI vs 13.19% in qualified-AI | Single-center observational study; no randomized AI-vs-standard intervention |
- 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