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

Brief summary (registry, in English)

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.

What you commit to

• Study type: Observational
• Participants enrolled: 30
• From 1 Jan 2025 to the primary completion date, 1 Jan 2026
• 1 site in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

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