The aim of the project Therapeutic Assist and Decision Algorithms for Hepatobiliary Tumor Boards (ADBoard) is the validation and evaluation of decision support systems based on linguistic and semantic methods of artificial intelligence (AI) for interdisciplinary tumour conferences in the care of tumour patients. Natural language processing (NLP) and machine learning (ML) will provide the technical basis for data extraction, data filtration and decision support for the automated generation of therapy recommendations. Interdisciplinary tumour board conferences are medical conferences, usually held on a weekly basis, which are required by the respective medical societies to determine a therapy or monitoring plan for patients with malignant diseases. Participants are representatives of the required medical disciplines who, taking into account the tumour characteristics and the general health of the patient, review the treatment options and make a therapy recommendation.
The Gemeinsamer Budesausschuss (Federal Joint Committee, G-BA) has the mandate to promote new forms of health care that go beyond the current standard provision of statutory health insurance, and health care research projects that are aimed at gaining knowledge to improve existing health care.
ADBoard is a collaboration of Priv.-Doz. Dr. Felix Krenzien, Priv.-Doz. Dr. Christian Benzing, Prof. Dr. Dominik Modest, Prof. Dr. Johann Pratschke (Charité – Universitätsmedizin Berlin) and Prof. Dr.-Ing. Sebastian Möller, Head of Research Department Speech and Language Technology, German Research Center for Artificial Intelligence.