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 StoriesDigital X-RayDEXA receives major boost for osteoporosis screeningGreater emphasis looks set to be put on the use of dual-energy x-ray absorptiometry (DEXA) for osteoporosis screening.MRIML model using CCTA, MRI data predicts MACE in cardiac patientsClinical NewsPatient death prompts RCR to act on gastric bandsMRIGenetic testing, risk assessment tied to more breast MRI uptakeMolecular ImagingPET scans can reduce unnecessary lymph node procedures