Therapeutic Assistance and Decision-making Algorithms in Hepatobiliary Tumor Boards
NCT05681949 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1200
Last updated 2023-08-24
Summary
The goal of this observational study is to compare the recommendations of the artificial intelligence clinical decision support system 'ADBoard', with the recommendations of physicians by tumor conferences in patients with hepatobiliary tumors. The main questions it aims to answer are:
Can ADBoard achieve a high level of similar recommendations as physicians' tumor conferences? Can ADBoard consider a more complete set of patient-related data than in physicians' tumor conferences? Can ADBoard reduce the time between the first time the patient is discussed at the tumor conference and the start of the recommended treatment plan? Participants will have their hepatobiliary tumor treatments determined by either tumor conference with ADBoard, or tumor conference without ADBoard.
Conditions
- Hepatocellular Carcinoma
- Fibrolamellar Hepatocellular Carcinoma
- Cholangiocarcinoma, Perihilar
- Intrahepatic Cholangiocarcinoma
- Metastasis to Liver
- Gallbladder Carcinoma
Interventions
- OTHER
-
ADBoard
Utilizing the clinical decision support system 'ADBoard' for therapy selection in participants with hepatobiliary tumors
Sponsors & Collaborators
-
German Research Center for Artificial Intelligence
collaborator UNKNOWN -
Charite University, Berlin, Germany
lead OTHER
Principal Investigators
-
Felix Krenzien · Charite University, Berlin, Germany
Study Design
- Allocation
- RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-11-30
- Primary Completion
- 2025-07-31
- Completion
- 2025-07-31
Countries
- Germany
Study Locations
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