medical imaging AI
Developed with Murdoch Children's Research Institute, the AI has shown 90% detection accuracy.
The deep multi-task learning AI analyses X-ray images of premature babies to identify intestinal perforation and its location.
A diagnostic AI developed at Asan Medical Center has been shown to analyse medical images while protecting privacy.
It joins Lunit and Us2.ai in the vendor-neutral, cloud-based marketplace of medical AI solutions.
It has comparable safety outcomes to coronary artery intervention guided by expensive 3D imaging.
Up to 16 million senior Indonesians are reportedly at risk of osteoporosis.