Reasons for radiologists to go the academic route.
CHICAGO - Fourth-year residents will soon be in the full swing of trying to find their next place â a full-time or part-time position as a practicing radiologist. For many, the most significant question swirling in their heads is whether they should step into private practice or continue in the path of academic medicine.Both career trajectories have their benefits, and industry leaders discussed the selling points at this year’s Radiological Society of North America (RSNA) meeting. Here are the reasons to join academic radiology.
What BI-RADS Changes Are on the Way for Breast MRI Reporting?
December 2nd 2022In a recent lecture at the Radiological Society of North America (RSNA) conference, Wendy DeMartini, MD, discussed a variety of preliminary proposed changes to the Breast Imaging Reporting and Data System (BI-RADS) for breast magnetic resonance imaging (MRI) examinations.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
New Ultrasound Study Shows Increased Liver Stiffness 10 Months After COVID-19 Infection
December 1st 2022The retrospective study involving the use of ultrasound shear wave elastography showed a significant increase in liver stiffness 44 weeks after the diagnosis of COVID-19 in comparison to pre-pandemic and pandemic controls.
RSNA 2020: Addressing Healthcare Disparities and Access to Care
December 4th 2020Rich Heller, M.D., with Radiology Partners, and Lucy Spalluto, M.D., with Vanderbilt University School of Medicine, discuss the highlights of their RSNA 2020 session on health disparities, focusing on the underlying factors and challenges radiologists face to providing greater access to care.
AI Assessment of 3D Digital Breast Tomosynthesis Images May Help Predict Breast Cancer
November 30th 2022An emerging artificial intelligence algorithm, developed to estimate volumetric breast density from 3D-reconstructed digital breast tomosynthesis images, could potentially facilitate individual risk assessments for breast cancer.
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