Deep learning gets under the skin of breast cancer.
KUNGFU.AI’s groundbreaking AI harnesses deep learning to predict breast cancer risk up to five years in advance, setting a new standard for accuracy, eliminating bias, and transforming early detection into life-saving action.
Computer vision will fundamentally change how radiologists predict the risk of breast cancer, leading to improved accuracy and lives saved.
Unlike traditional methods that rely on patient metadata such as age, race, and medical history, our challenge was to develop an AI model that analyzes only radiological image data, removing the demographic inputs — age, race, medical history — that have driven bias in previous approaches.
Using radiological images from from diverse populations worldwide, we trained a highly accurate AI model capable of identifying early indicators of breast cancer risk with unmatched precision and reliability.
Our computer vision AI predicts a woman's breast cancer risk up to five years in advance, using image data alone — no age, no race, no medical history. FDA granted the device De Novo authorization (DEN240047) in a classification created for it, because nothing comparable existed to clear it against.
We partnered with Clairity, Inc. to help bring their groundbreaking breast cancer risk model from research to real-world clinical use, enabling physicians to make earlier, more confident decisions for their patients. Watch the video to see how applied AI is transforming medical imaging into life-changing impact.
A look at the practical work behind bringing this AI system into clinical use, from shaping the problem to building technology that performs reliably in real healthcare environments. See how thoughtful strategy, rigorous engineering, and close collaboration turn cutting-edge research into meaningful patient impact.
Clairity partnered with KUNGFU.AI to build and train a groundbreaking AI model on over half a million mammograms.
