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 StoriesHealth EquityResolution on imaging access awaits World Health Assembly approvalThe WHO board has adopted the Strengthening Medical Imaging resolution and it now looks set for approval by the World Health Assembly. Prof. Hedvig Hricak moderated an important webinar on the topic last week.UltrasoundWhat can we learn from astronauts' use of ultrasound?Womens ImagingAI speeds up fetal ultrasound scan timesCTNociceptive responses to contrast CT aren't necessarily pathologyRadiology EducationRadiology societies demand retraction of 'flawed' interventional guideline
