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.
Commentary|Videos|April 27, 2026
Breast Radiologists Say New ACP Breast Cancer Screening Guidelines are ‘Many Steps Backward’ and ‘Dangerous’
Author(s)Jeff Hall
In recent interviews with Diagnostic Imaging, Wendie Berg, MD, PhD, Stamatia Destounis, MD, and Manisha Bahl, MD, shared their concerns about the recent breast cancer screening guidance from the American College of Physicians.
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Breast radiologists have raised a number of concerns about the recently issued guidance from the American College of Physicians (ACP) for breast cancer screening in asymptomatic, average-risk adult women.
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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.
Catch up on the top radiology content of the past week.
The use of adjunctive CT bone reading software in women with breast cancer detected between 8 to 22 percent more metastatic lesions for reviewing radiologists and reduced CT interpretation time by 50 percent or more, according to a new study.
Catch up on the top radiology content of the past week.
Catch up on the top radiology content of the past week.
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