Two heads better than one: researchers combine AI diagnostic tools for breast cancer
Researchers from the Departments of Computer Science and Public Health at the University of Copenhagen (Denmark) have taken a strength in numbers approach to breast cancer screening; through combining two diagnostic AI tools they hope to improve overall breast cancer risk assessment. The findings were recently published in Radiology.
Previous research has demonstrated that using mammography-based deep learning models (analyzing lesions) could improve the accuracy of estimating short-term breast cancer risk while texture AI models (analyzing breast density) are more suited for predicting long-term breast cancer risk. No AI models have combined the power of both mammography and texture-based technology.
Until now…
