An international team of researchers from TU Darmstadt, the University of Cambridge, Merck, and the Klinikum rechts der Isar of TU Munich, studied how software systems collect, process, and evaluate task-specific relevant information, thereby supporting the work of humans, in this case, radiologists. The research project, led by TU researchers Sara Ellenrieder and Professor Peter Buxmann, investigated the use of ML-based decision support systems in radiology, specifically in the manual segmentation of brain tumours in MRI images. The authors compared different performance levels of ML systems and analyzed how explaining the ML output improved the radiologists’ understanding of the results. The research aim is to find out how radiologists can benefit from these systems in the long term and use them safely.
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