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 StoriesMRISwiss-led team shines light on training in prostate MRITraining in prostate multiparametric MRI interpretation results in similar levels of competence for urology and radiology trainees, according to a new study.UltrasoundT1/T2-weighted MRgFUS ratio imaging improves brain lesion contrastDigital X-RayDark-field radiography improves detection of pneumothoraxRadiation Oncology/TherapyWhy we must celebrate Charles Joslin's remarkable lifeMRIMRI safety and radiation-induced cancer risks dominate in 2025