The Reading Room with Diagnostic Imaging

In the second of a two-part podcast episode, Kalpana Kanal, PhD, and Mahadevappa Mahesh, PhD, discussed the possible impact of new research showing significant declines in CT radiation dosing over the past decade, future research directions and the potential for indication-based diagnostic reference levels (DRLs) in the future.

In a new podcast episode, Manisha Bahl, MD, MPH, FSBI, reviews key findings from a recent study examining the utility of contrast-enhanced mammography in prevalence and screening rounds.

In the first of a two-part podcast episode, Kalpana Kanal, PhD, and Mahadevappa Mahesh, PhD, reviewed key findings from a study examining CT radiation dosing over the past decade and shared insights from their experience for ensuring optimal radiation dosing for CT scans.

In a recent podcast episode, Joseph Cavallo, MD, MBA, offered his perspective on AI integration, potential efficiency gains, navigating post-deployment monitoring and how to incorporate AI literacy into radiology resident training.

In a new podcast episode, Amir Iravani, MD, FRACP, discusses emerging dosimetry data from the COMPETE trial for 177Lu-edotreotide and how it may help facilitate more personalized treatment for patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs).

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.

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.

In the first of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD share insights on the utility of AI in breast imaging with respect to potential advantages, current concerns and future directions.

In the second of a two-part podcast episode, Lauren Nicola, MD, Christoph Wald, MD, PhD, MBA, and Peter Shen discuss challenges with evaluating value and ROI for AI software, the physician time required to do so, and possible solutions to facilitate improved clarity and consistency with AI reimbursement.

In the first of a two-part podcast episode, Lauren Nicola, MD, Christoph Wald, MD, PhD, MBA, and Peter Shen discuss current challenges with reimbursement for AI in radiology.