Catch up on the top radiology content of the past week.
Commentary|Slideshows|April 29, 2026
Top Five Radiology Video Interviews in April 2026
Author(s)Diagnostic Imaging Staff
Catch up on the most well-viewed video interviews from Diagnostic Imaging in April 2026.
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As we come to the end of April, we take a look back at the most viewed video interviews of the past month with topics ranging from updates to the National Comprehensive Cancer Network (NCCN) guidelines on breast cancer screening and the role of PSMA PET in risk stratification for prostate cancer to radiologist responses to a CEO’s comment about potentially replacing radiologists with AI. Review the slideshow below to see highlighted video interviews from April 2026.
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In the second of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss how to handle disagreements with adjunctive AI in breast imaging, whether to include AI assessments in PACS, and whether patients should pay for the use of adjunctive AI.
How will generative AI software be evaluated by the FDA in the future? What’s next for point-of-care ultrasound? What steps have been successful in facilitating adoption of AI applications across enterprise systems? Leaders in radiology and health care will be discussing these topics and more at the upcoming HLTH USA conference.
Catch up on the top radiology content of the past week.
In the third of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss recent developments with autonomous AI in breast imaging and share their perspective on the overall potential of AI to help mitigate the radiologist shortage.
Catch up on the most well-viewed video interviews from Diagnostic Imaging in September 2026.
In a recent interview with Diagnostic Imaging, Joseph Cavallo, MD, MBA, offered insights on post-deployment monitoring with AI, the potential for improved workflow efficiency and the ongoing challenge of balancing essential clinical skills and AI literacy in the training of radiology residents and fellows.
In the latest episode of her Breast Imaging in Focus series, Manisha Bahl, MD, MPH, FSBI, discusses new research comparing mammography-based AI models for breast cancer detection and short-term risk prediction.
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