Clinical Trial

Agreement Between Large Language Model-Generated Treatment Recommendations With Guideline-Based and Tumor Board Decisions in Gastrointestinal Cancer

Study acronym: KITuKo
Completed
View on ClinicalTrials.gov →
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.
Trial Details
NCT Number NCT07592338
Lead Sponsor Medizinische Hochschule Brandenburg Theodor Fontane
Conditions Gastric Cancer (GC), Colorectal Cancer, Pancreatic Cancer
Enrollment 30 participants
Start Date 2025-01-01
Primary Completion 2026-01-01 (estimated)
Study Completion 2026-02-25 (estimated)
Updated on ClinicalTrials.gov 2026-05-18