Videos

Jason Poff, MD, director of innovation deployment for artificial intelligence (AI) at RadPartners, explains the five-step process he uses to evaluate medical imaging AI.

5 steps for evaluating radiology AI applications

Jason Poff, MD, director of innovation deployment for artificial intelligence at Radiology Partners, explains the process he uses to evaluate medical imaging AI. 
 

Video of James Min, MD, explaining the future of cardiac care using CT and AI plaque analysis to create a personalized and more accurate cardiac risk assessment, similar to a mammogram for the heart.

Embracing the future: James Min left academia to push for a paradigm shift in preventive cardiology

James Min, MD, Cleerly's founder and CEO, changed careers to address what he saw as a major unmet need in cardiology.

Video of Tim Kearns explaining the new Konica Minolta Exa Enterprise imaging system released at RSNA 2024.

Enterprise imaging expands in smaller and midsized hospitals

Smaller health systems are increasingly moving into this realm. Tim Kearns, director of marketing and healthcare IT, Konica Minolta Imaging USA, explains the implications.

 

Nina Kottler, MD, Radiology Partners, offers overview of the U.S. AI regulatory landscape as government and radiologists work on ways to ensure artificial intelligence is not bias and works properly.

Overview of the regulatory landscape of AI in radiology

Nina Kottler, MD, associate CMO for clinical AI at Radiology Partners, explains the movement toward greater regulation of artificial intelligence and the need to test for bias. 

Jessica H. Porembka, MD, FSBI, associate professor, breast imaging division University of Texas Southwestern Medical Center, Dallas, and vice chair of strategy and quality, and quality assurance medical director, Parkland Radiology in Dallas, explains how an ultrasound-first strategy for noncalcified lesions in DBT proves cost-effective.

Ultrasound-first strategy for noncalcified lesions in DBT proves cost-effective

Jessica Porembka, MD, of the breast imaging division at University of Texas Southwestern Medical Center, said an ultrasound-first strategy for these lesions in DBT is cost-effective and improves efficiency. 

Melissa Davis, MD, MBA, Yale University, explains her research into private equity market penetration in radiology.

Concerns about private equity's growing influence in radiology

Melissa Davis, MD, vice chair of medical informatics and associate professor at Yale University’s Department of Radiology and Biomedical Imaging, shares her findings from research on private equity market penetration.

 

Jessica H. Porembka, MD, FSBI, associate professor, breast imaging division University of Texas Southwestern Medical Center, Dallas, and vice chair of strategy and quality, and quality assurance medical director, Parkland Radiology in Dallas, discusses what it means when a radiology report says a patient has an architectural distortion on their mammogram.

What patients need to know about architectural distortion on breast imaging

Radiologist Jessica Porembka, MD, FSBI, an associate professor with the breast imaging division at University of Texas Southwestern Medical Center, explains what it means when a mammography report says a patient has architectural distortion.
 

Video of Steve Rankin, chief strategy officer for Enlitic, explaining how AI can help standardize labeling of medical images.

AI can help radiology standardize image exam data labeling

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

Around the web

News of an incident is a stark reminder that healthcare workers and patients aren’t the only ones who need to be aware around MRI suites.

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.