Michal Meiri[email protected]Artificial IntelligenceOperational applications drive AI adoption in radiologyWhen talking about artificial intelligence (AI) in radiology, one immediately thinks of the classic clinical use case of computer vision and powerful algorithms identifying abnormalities on imaging studies. Operational applications of AI, however, will likely be the first to be widely adopted.March 16, 2020Page 1 of 1Top StoriesCTUnderstanding CT flow artifacts is key to better disease diagnosisUnderstanding the mechanics of flow artifacts on CT or CT angiography and how these artifacts are created is key to better disease diagnosis.Molecular ImagingDual-tracer PET/CT shows promise in liver cancer patientsWomens ImagingStudies lacking for trans breast cancer screening trendsArtificial IntelligenceChatGPT performs poorly on ACR exam for residentsSponsor ContentIMV’s Oncology in Diagnostic Imaging Market Outlook Report