Amerigo Allegretto[email protected]Practice ManagementIs more reliance on advanced imaging leading to higher workloads?The increased use of advanced imaging exams may be tied to increased radiology workloads, and the COVID-19 pandemic may have played a part.May 19, 2025InterventionalDiversity in interventional radiology residency programs lackingInterventional radiology is one of the least diverse medical specialties among residents, a new analysis found.May 16, 2025Womens ImagingPandemic tied to breast biopsy delaysCompared with the pre-COVID-19 period, women are more likely now to face delays in image-guided breast biopsy.May 15, 2025ISMRM 2025ISMRM: Adding dobutamine stress imaging to CMR feasibleAdding dobutamine stress imaging during clinical cardiovascular MR exams is feasible for separating athletic hearts from hearts with early DCM.May 14, 2025ISMRM 2025ISMRM: Diffusion MRI predicts progression to Alzheimer'sA presentation at ISMRM 2025 suggests diffusion MRI could predict progression from mild cognitive impairment to Alzheimer's.May 11, 2025VideosPhilips highlights imaging informatics for improving rad workforcePhilipsMay 8, 2025Womens ImagingAbout half of women undecided on AI's use in breast imagingThe jury is out on AI use in breast imaging, but women with a higher education and more health literacy are more likely to welcome it.May 7, 2025Womens ImagingUltrafast breast MRI's advantages may need to be reconsideredUltrafast MRI fell short of expectations when compared to DCE-MRI in terms of lesion conspicuity and classification.May 6, 2025UltrasoundARRS: Cancer status should be considered for axillary breast ultrasoundResearch shown at ARRS 2025 found that breast cancer status and exam indication should be considered when reading axillary ultrasound exams.May 5, 2025Womens ImagingARRS: Get involved with breast health advocacyAt ARRS 2025, Amy Patel, MD, discussed the need for advocacy to drive legislation on insurance coverage for women with dense breasts.May 2, 2025Page 1 of 56Next PageTop StoriesAISIIM: Deep-learning model aids lumbar spine MRI analysisIn a presentation at SIIM 2025, researchers shared the performance of a deep-learning algorithm on lumbar spine MRI exams.Molecular ImagingSIIM: Informatics key to future of theranosticsAISIIM: AI creates well-received radiology reports for patientsImaging InformaticsSIIM: AI identifies gaps in care in patients with fracturesSponsor ContentJoin us June 3 for a Free Webinar