AI helps select patients for supplemental breast cancer screening

In conclusion, AISmartDensity effectively identified patients who were likely to benefit from supplemental imaging after a negative screening mammogram,” they wrote. The researchers noted that their model is currently acting as a postscreening reader in a randomized clinical trial to flag high-risk mammograms for supplemental MRI. This trial will provide further evidence of the model’s real-world performance in a clinical setting, according to the authors. “This study highlights the potential of AI-based risk prediction in the era of personalized screening, offering precise identification of individuals who could benefit from supplemental imaging, which is a step towards customizing screening protocols and optimizing screening initiation and frequency,” wrote Myoung Kyoung Kim, MD, of Sungkyunkwan University School of Medicine and Jung Min Chang, MD, of Seoul National University College of Medicine, in an accompanying editorial. The full article can be found here and the editorial can be found here.
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Breast Artificial Intelligence Breast Imaging Source Type: news