Catch up on our RSNA 2022 interviews with Tessa Cook, MD, Nina Kottler, MD, Eliot Siegel, MD and more.
For current perspectives on topics ranging from cloud-based capabilities to artificial intelligence (AI) advances in breast density assessment and cardiac MRI, check out our interviews from the recent RSNA conference. Review the slideshow below to see video interviews with key opinion leaders as well as emerging voices from RSNA 2022.
Study of Ofatumumab for Multiple Sclerosis Shows 'Profoundly Suppressed MRI Lesion Activity'
April 17th 2024The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) conference.
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.
Interventional Radiology Study Shows Low Breast Cancer Recurrence 16 Months After Cryoablation
March 29th 2024In a cohort of patients with invasive breast cancer and tumor sizes ranging between 0.3 to 9 cm, image-guided cryoablation was associated with a 10 percent recurrence rate at 16 months, according to research recently presented at the Society of Interventional Radiology (SIR) conference.
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.
Could Cloud-Based 'Progressive Loading' be a Boon for Radiology Workflows?
March 13th 2024The newly launched Progressive Loading feature, available through RamSoft’s OmegaAI software, reportedly offers radiologist rapid uploading of images that is faster than on-site networks and other cloud-based systems regardless of the network radiologists are using.
ECR Study Finds Mixed Results with AI on Breast Ultrasound
March 6th 2024While adjunctive use of AI led to significantly higher specificity and accuracy rates in detecting cancer on breast ultrasound exams in comparison to unassisted reading by breast radiologists, researchers noted that 12 of 13 BI-RADS 3 lesions upgraded by AI were ultimately benign, according to research presented at the European Congress of Radiology.