Abstract Prostate imaging, and especially multiparametric magnetic resonance imaging (mpMRI), has become central to the diagnosis, risk stratification, treatment planning, and follow-up of prostate cancer. Its widespread adoption has driven the development of structured imaging scoring systems designed to standardize a...
E. Messina, Antonella Borrelli, Georgios Agrotis et al.· BJR|Open· 0 citations
The application of artificial intelligence (AI) to prostate MRI for clinically significant prostate cancer (csPCa) detection is an active area of medical imaging research. Yet, methodological deficiencies can undermine the reliability and clinical translatability of many published studies. This perspective provides a s...
Eduardo H. P. Pooch, Georgios Agrotis, Ivo G. Schoots et al.· European Radiology· 0 citations
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