By applying the technology to OCT (Optical Coherence Tomography) scans, he thought it would help prioritize patients with sight-threatening diseases. The algorithm, dubbed Stork, analyzes time-lapse images of early-stage embryos and is able to discriminate between poor and good embryo quality. It outperformed existing approaches, placing 31% of all cancer patients in its highest-risk category compared to 18% for traditional models. As a breast cancer survivor herself, she subsequently applied the technology to her own mammograms. Aged 43 at the time and with no history of breast cancer in the family, she had never considered herself at risk.

Source: CNN July 15, 2019 09:00 UTC