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Concordance Between Large Language Model and Multidisciplinary Team Recommendations in Rectal Cancer
Sponsor: Shandong Cancer Hospital and Institute
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.
Official title: A Prospective Single-Center Observational Study Evaluating Concordance Between Large Language Model-Generated Recommendations and Multidisciplinary Team Recommendations in Rectal Cancer
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
180
Start Date
2026-06-01
Completion Date
2027-12-01
Last Updated
2026-05-19
Healthy Volunteers
No
Conditions
Interventions
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.
Locations (1)
Department of Radiation Oncology, Shandong Cancer Hospital and Institute
Jinan, Shandong, China