AI continues to grow in breast imaging, with the market expected to grow by nearly 30% by 2033.
However, special considerations need to be accounted for when choosing to deploy AI tools in breast radiology departments. Eun Langman, MD, and Vilert Loving, MD, both from Duke University in Durham, NC, addressed these considerations and concerns in a paper published in the American Journal of Roentgenology.
The two expand upon their thoughts in this week's episode of the Women's Imaging MinnieCast. They also go over results from recent prospective trials evaluating AI's clinical utility in screening mammography.
Eun Langman, MD, shares her thoughts on who or what is responsible when AI gives a false-negative result, comparing this scenario to driverless cars.
The two also talk about whether investing in breast cancer screening access and subspecialist training is needed before implementing AI into clinical practice, as well as what well-governed AI deployment looks like.
Watch the full episode below.
