AI model predicts 5-year breast cancer risk from mammogram data

An AI model developed by Duke University researchers can predict five-year breast cancer risk from mammograms, a study published March 19 in Radiology found. A team led by Mark Donnelly from the Durham, N.C.-based university found that their deep learning-based algorithm, a simplified offshoot of Mirai, performed well in predicting cancer risk by evaluating breast asymmetry features on mammograms. “We hope that this [model] will enable some of those personalized screening strategies to reduce the load on patients and radiologists,” Donnelly told AuntMinnie.com. While attending regular screening mammogram appointments is important in lowering the risk of dying from breast cancer, pinpointing which women are at higher risk of developing the disease can be tricky. AI has shown that it can help in this area. Mirai is a deep learning-based algorithm that has shown that it can help predict breast cancer. However, Donnelly and colleagues noted that not much is known about Mirai’s reasoning process. They cautioned that with this in mind, the algorithm could be relied on too heavily by radiologists and lead to incorrect diagnoses. The researchers developed AsymMirai, which they highlighted is simpler and easier to understand than Mirai. The algorithm was built on the front-end deep learning portion of Mirai and was developed with local bilateral dissimilarity as an interpretable module. This module examines tissue differences between the left and right breasts. The study c...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Womens Imaging Advanced Visualization Source Type: news