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Brief Title: Therapeutic Assistance and Decision-making Algorithms in Hepatobiliary Tumor Boards
Official Title: Evaluation of the Trustworthiness of the Application of Artificial Intelligence and Decision Support Systems for the Creation of Tumor Conference Protocols
Study ID: NCT05681949
Brief 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.
Detailed Description:
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Surgical Clinic, Campus Virchow-Klinikum / Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, , Germany
Name: Felix Krenzien
Affiliation: Charite University, Berlin, Germany
Role: PRINCIPAL_INVESTIGATOR