Irina Grigorescu[email protected]Artificial IntelligenceHow deep learning can help predict cancer recurrenceResearchers have shown that a deep-learning algorithm can be used to extract interpretable features from annotation-free histopathology images from prostate cancer patients. Their framework outperformed the prediction of biochemical recurrence using conventional methods.February 13, 2020Page 1 of 1Top StoriesUltrasoundArt and radiology: Seeing beauty and value in images“Radiological illustrations are more than medical images. They teach!” That’s the view of Dr. Harun Yildiz from Bursa, Turkey. In a Q&A interview, he elaborates on his passion for art.Artificial IntelligenceAI enables tissue matching for digital breast tomosynthesisCTGianfranco Gualdi breaks his silenceMolecular ImagingIAEA recommends global adoption of PSMA-PETMRIFrench group focuses attention on benign bone lesions