Agreement Between Large Language Model-Generated Treatment Recommendations With Guideline-Based and Tumor Board Decisions in Gastrointestinal Cancer
NCT07592338 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 30
Last updated 2026-05-18
Summary
The goal of this observational study is to learn whether a computer program can suggest cancer treatments that match expert recommendations for people with gastrointestinal cancer (cancer of the pancreas, stomach, or colon and rectum).
The main questions it aims to answer are:
* Do the treatment suggestions from the computer program match current medical guidelines?
* Do these suggestions match decisions made by a multidisciplinary tumor board (a team of cancer specialists)?
Researchers will review existing medical records from people who have already been treated for these cancers. They will enter key clinical information into a computer program that uses artificial intelligence (AI). The program will generate treatment suggestions for each case.
Researchers will then compare these suggestions with:
* guideline-based treatment recommendations
* decisions made by the tumor board
This study will help researchers understand whether AI tools could support doctors in making cancer treatment decisions in the future.
Conditions
- Gastric Cancer (GC)
- Colorectal Cancer
- Pancreatic Cancer
Interventions
- OTHER
-
Treatment recommendation according to official German cancer guideline
Detailed treatment recommendation according to the official guideline of the Association of the Scientific Medical Societies in Germany (AWMF; Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften),
- OTHER
-
Treatment recommendation of a LLM
Structured clinical case summaries were analyzed by a GPT-4-class large language model to generate treatment recommendations.
- OTHER
-
Treatment recommendation of a multidisciplinary tumor board
Detailed treatment recommendation according to the case-specific postoperative tumor board review.
Sponsors & Collaborators
-
Medizinische Hochschule Brandenburg Theodor Fontane
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-01-01
- Primary Completion
- 2026-01-01
- Completion
- 2026-02-25
Countries
- Germany
Study Locations
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