HIGHLIGHTS
- who: C. Roest from the Department of, University Medical Center Groningen, Kochstraat, KL, Groningen, the have published the research work: AI-assisted biparametric MRI surveillance of prostate cancer: feasibility study, in the Journal: (JOURNAL)
- what: A classifier trained on this study only was developed for comparison. The authors propose a data-efficient hybrid machine_learning algorithm. The surveillance AI correctly classified this patient as csPCa based on both scans the study has several limitations.
- how: The heatmaps generated by the detection model were used to extract explainable volumetric and likelihood features for detected lesions . . .
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