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 StoriesCTCT pearls from Ireland’s top orthopedic hospitalDeveloping diagnostic reference levels for common CT procedures, along with an emphasis on training of CT radiographers, are key factors in the optimization process, researchers from Dublin have asserted.Molecular ImagingSPECT/CT identifies prostate cancer patients with poor outcomesUltrasoundMore ultrasound cuts risks in pregnancies with less fetal movementDigital X-RayGerman team aims to cut radiation dose in IRCTHow well do LLMs interpret bone fracture textual CT reports?
