Paige details first AI pathology tech with clinical-grade accuracy in new research paper

Researchers associated with Memorial Sloan Kettering Cancer Center and medical tech and computational pathology startup Paige have published a new article in the peer-reviewed medical journal Nature Medicine detailing its artificial intelligence-based detection system for identifying prostate cancer, skin cancer and breast cancer, which the company says achieves "near-perfect accuracy." The tech described in the article, which employs deep learning trained on a data set of almost 45,000 slide images taken from more than 15,000 patients spanning 44 countries, is novel in that it can eschew the need to curate data sets for training first, which greatly decreases cost and time required to build accurate AI-based diagnostic tools. Last February, Paige announced $25 million in Series A funding and a partnership with Memorial Sloan Kettering Center (MSK) to gain access to one of the largest single repositories of pathology slides in the world.