Prof. Antonio Chiesa, president of this year's European Congress of Radiology, welcomes Prof. Takeo Ishigaki, Prof. Yutaka Imai, Prof. Osuma Matsui, Prof. Hiromu Mori, and Dr. Shinji Hirohashi to the Vienna congress. The conference featured a special "ECR meets Japan" session, in which an invited panel of Japanese radiologists discussed diagnostic imaging of early-stage gastrointestinal cancer. All speakers at the special session, dubbed "Oriental pearls in oncology imaging," were presented with a large red flower to wear. The flowers were chosen to match one presented to Chiesa when he spoke at a conference organized by the Japan Radiological Society. Having treasured the flower as a keepsake, Chiesa wore it again at ECR 2005 as a symbol of fraternity with the Japanese radiological community.
Prof. Antonio Chiesa, president of this year's European Congress of Radiology, welcomes Prof. Takeo Ishigaki, Prof. Yutaka Imai, Prof. Osuma Matsui, Prof. Hiromu Mori, and Dr. Shinji Hirohashi to the Vienna congress. The conference featured a special "ECR meets Japan" session, in which an invited panel of Japanese radiologists discussed diagnostic imaging of early-stage gastrointestinal cancer. All speakers at the special session, dubbed "Oriental pearls in oncology imaging," were presented with a large red flower to wear. The flowers were chosen to match one presented to Chiesa when he spoke at a conference organized by the Japan Radiological Society. Having treasured the flower as a keepsake, Chiesa wore it again at ECR 2005 as a symbol of fraternity with the Japanese radiological community.
Four Strategies to Address the Tipping Point in Radiology
January 17th 2025In order to flip the script on the impact of the radiology workforce shortage, radiology groups and practices need to make sound investments in technologies and leverage partnerships to mitigate gaps in coverage and maximize workflow efficiencies.
Can Generative AI Facilitate Simulated Contrast Enhancement for Prostate MRI?
January 14th 2025Deep learning synthesis of contrast-enhanced MRI from non-contrast prostate MRI sequences provided an average multiscale structural similarity index of 70 percent with actual contrast-enhanced prostate MRI in external validation testing from newly published research.
Can MRI-Based AI Enhance Risk Stratification in Prostate Cancer?
January 13th 2025Employing baseline MRI and clinical data, an emerging deep learning model was 32 percent more likely to predict the progression of low-risk prostate cancer (PCa) to clinically significant prostate cancer (csPCa), according to new research.