The Reading Room with Diagnostic Imaging

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening.

Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss health equity implications with recently issued updates to breast cancer screening recommendations

Richard Duszak, MD, FACR and Mina Makary, MD, discuss demographic trends and a possible shortage of radiologists.

Dr. Charles Liu and Dr. Jonathan Russin discuss the benefits, differences, and potential of fPACT (functional photoacoustic computed tomography) in comparison to the brain imaging gold standard -- functional MRI (fMRI).

Amol Karnick, president and chief executive officer, and Karim S. Karim, Ph.D. chief technology officer, both of KA Imaging discuss the current trends and future opportunities for innovation with X-ray imaging.

Matthew Michela, President and CEO of Life Image, discusses ONC information-blocking rules and strategies practices can take to ensure compliance.

Nina Kottler, M.D., chief medical officer of artificial intelligence for Radiology Partners, discusses what providers can learn about the state of these technologies from RSNA 2020 -- and what the future holds.

Rich 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.

In this episode, Dr. Michael Recht, chair of the radiology department at New York University Langone Health, discusses the partnership between NYU and Facebook AI that has created an accelerated MRI that is four times as fast as a standard MRI.