Interdisciplinary tumor conferences with physicians from different disciplines are the key to the best possible diagnosis and treatment of cancer. The information about the patients and the tumor that is necessary for the therapy decision is often not available to the treating physicians in full or in sufficient quality. This sometimes leads to a significant delay in the treatment of patients. Researchers in the ADBoard project want to contribute to further improving therapy decisions with the help of artificial intelligence (AI).

The aim of the project is to use a novel decision support system for liver tumors as a model. AI methods such as natural language processing and machine learning will provide the technical basis for automated data provision and decision support, including therapy recommendations. The robustness, reproducibility, transparency and explainability of the proposed therapy recommendations will be evaluated in a study. For this purpose, the therapy recommendations proposed by the system will be compared with the decisions of the tumor conferences actually conducted.

In the future, the therapy recommendations prepared using AI will support physicians in making timely and optimal therapy decisions for liver tumors. The long-term goal is to apply the new system in clinical practice and to transfer the system to other tumor types.