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Colorectal organ AI large model and clinical applications

Colorectal organ AI large model and clinical applications

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600116984
Enrollment
Unknown
Registered
2026-01-18
Start date
2025-01-01
Completion date
Unknown
Last updated
2026-01-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal cancer

Interventions

Observation group:None

Sponsors

Peking University Third Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Retrospective inclusion of colorectal cancer imaging data: All preoperative imaging data from patients who underwent radical colorectal cancer surgery in the Department of General Surgery from January 1, 2010, to the present will be retrospectively collected.

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
The accuracy rate of the digital organ large model for intestinal tract identification;The accuracy rate of the digital organ large model for tumor identification;The accuracy rate of the digital organ large model for lymph node identification;The accuracy rate of the digital organ large model for guiding clinical issues;

Countries

China

Contacts

Public ContactFei Li

Peking University Third Hospital

lifeipku@163.com+86 152 0127 7669

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026