Concordance Between Large Language Model and Multidisciplinary Team Recommendations in Rectal Cancer
NCT07595107 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 180
Last updated 2026-05-19
Summary
This prospective single-center observational study will evaluate the concordance between recommendations generated by a locally deployed large language model and standardized multidisciplinary team recommendations for patients with rectal cancer.
Consecutive adult patients with pathologically confirmed rectal adenocarcinoma who are scheduled for routine rectal cancer multidisciplinary team discussion will be enrolled. For each case, investigators will prepare a standardized de-identified clinical summary before the multidisciplinary team meeting. The same summary will be used for large language model generation and routine multidisciplinary team discussion.
The large language model recommendation will not be disclosed to the clinical team and will not influence actual patient management. Concordance between the large language model recommendation and the multidisciplinary team reference recommendation will be assessed using predefined structured rules and blinded expert review.
Conditions
Interventions
- OTHER
-
Large Language Model Recommendation Generation
For each enrolled case, a standardized de-identified clinical summary will be entered into a locally deployed large language model using a fixed prompt and fixed inference parameters. The model will generate a structured treatment recommendation for concordance assessment. The large language model output will not be disclosed to the multidisciplinary team and will not influence actual patient management.
Sponsors & Collaborators
-
Shandong Cancer Hospital and Institute
lead OTHER
Principal Investigators
-
Jinbo Yue, MD, PhD · Shandong Cancer Hospital and Institute
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-06-01
- Primary Completion
- 2027-06-01
- Completion
- 2027-12-01
Countries
- China
Study Locations
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