A Schulze, M Haselbeck-Köbler, J M Brandenburg, M T J Daum, K März, S Hornburg, H Maurer, F Myers, G Reichert, S Bodenstedt, F Nickel, M Kriegsmann, M O Wielpütz, S Speidel, L Maier-Hein, B P Müller-Stich, A Mehrabi, M Wagner
BACKGROUND: The interest in artificial intelligence (AI) is increasing. Systematic reviews suggest that there are many machine learning algorithms in surgery, however, only a minority of the studies integrate AI applications in clinical workflows. Our objective was to design and evaluate a concept to use different kinds of AI for decision support in oncological liver surgery along the treatment path. METHODS: In an exploratory co-creation between design experts, surgeons, and data scientists, pain points along the treatment path were identified...
September 29, 2024: European Journal of Surgical Oncology