Copyright: ©Author(s) 2026.
Artif Intell Gastrointest Endosc. Sep 8, 2026; 7(2): 121109
Published online Sep 8, 2026. doi: 10.37126/aige.121109
Published online Sep 8, 2026. doi: 10.37126/aige.121109
Table 3 Priority translational agenda for the next 3 years to 5 years
| Priority | Why it matters | Example deliverable |
| Patient-important outcomes for Tier 1 colonoscopy AI | ADR alone is no longer sufficient to justify broad adoption given that most incremental yield is from diminutive lesions | Multicenter registry or pragmatic trial accompanying (not following) rollout and measuring advanced neoplasia, interval cancer surrogates, low-value resection rate, and surveillance intensity |
| Pathway-defining trials for tier 2 tools | Technical accuracy does not establish net clinical value | Capsule AI trial measuring reading time, false-positive burden, downstream procedure rate, and cost; H. pylori study linking AI outputs to biopsy strategy and management |
| Global generalizability | Current literature is concentrated in a few regions and expert centres | Prospective validation across underrepresented geographies and lower-resource settings, including South Asia, Latin America, and sub-Saharan Africa |
| Human-factors safeguards as a standard requirement | Automation bias can erode clinician performance, as the deskilling signal in colonoscopy demonstrates | Mandatory AI-off benchmarking, override logging, and discordant-case review as part of every rollout protocol |
| Governance before guideline endorsement | Deployment without accountability is operationally fragile | Minimum package of update disclosure, drift monitoring, and escalation policy before any tier 2 system receives society-level endorsement |
| CADx pathway clarification | Two major meta-analyses show no net benefit of current CADx in routine practice; the resect-and-discard pathway requires society-level redefinition before AI-assisted optical diagnosis can be broadly implemented | Prospective pragmatic trial comparing AI-assisted resect-and-discard vs standard practice on histopathology concordance, surveillance interval assignment, and medicolegal framework |
- Citation: Boppana SH, Chandrashekar A, Sunkesula V. From hype to clinical translation: A tiered, readiness-based framework for artificial intelligence in gastrointestinal endoscopy. Artif Intell Gastrointest Endosc 2026; 7(2): 121109
- URL: https://www.wjgnet.com/2689-7164/full/v7/i2/121109.htm
- DOI: https://dx.doi.org/10.37126/aige.121109