Newly Published Data Suggests AI’s Potential to Help Streamline Mammography Reviews While Maintaining High Effectiveness in Finding Cancer

New research published in Radiology on Hologic’s 3DQuorum™ imaging technology demonstrates AI’s potential to streamline radiologists’ workflows while upholding high sensitivity in detecting breast cancer.

Based on more than 119,000 screening mammography exams, the retrospective study compared cancer detection rates before and after adopting 3DQuorum, which uses AI to reduce the number of 3D imaging “slices” radiologists need to review without compromising image quality, sensitivity or accuracy.^1,2 In the simplest terms, the technology is comparable to condensing a 60-page book into a 10-page summary that retains all relevant information and highlights key findings.

The study found no significant difference in cancer detection rates after implementation of 3DQuorum. With ongoing radiologist shortages, these results suggest the technology’s potential to streamline radiologists’ workflows and save valuable time while maintaining high effectiveness in detecting cancers.

“AI holds boundless potential in healthcare that we are only beginning to tap into, with a wide range of applications that can improve patient care,” said Dr. Bahl. “By streamlining the review process, AI allows us to focus our attention where it matters most: finding cancers early and supporting each patient with confidence.”