Catch up on the top radiology content of the past week.
News|Slideshows|December 26, 2024
Top Five Ultrasound Content of 2024
Author(s)Diagnostic Imaging Staff
Catch up on the most well-read ultrasound content from 2024.
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We take a look back at the most well-read content on ultrasound in 2024 with topics ranging from FDA-cleared AI software for fetal heart ultrasound and supplemental ultrasound for dense breasts to an emerging high-intensity focused ultrasound treatment for pancreatic cancer. Review the slideshow below to see highlighted ultrasound content from the past year.
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Catch up on the most well-viewed video interviews from Diagnostic Imaging in September 2026.
Catch up on the top radiology content of the past week.
In a recent interview, Stamatia Destounis, MD, FACR, shared her perspective on recent changes to the BI-RADS system, offering insights on contrast-enhanced mammography, reporting changes for breast MRI and ultrasound, and the importance of auditing for BI-RADS category 3 assessments.
Magnetic resonance imaging offered a 29 percent higher sensitivity than CT for differentiating liver metastases, but CT provided 12 percent higher sensitivity than MRI for assessing vascular invasion, according to a new 40-study meta-analysis.
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 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.
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