IBM Research has made progress in coupling AI with speech and written text analysis to help clinicians better evaluate mental health.
A new deep learning framework that detects glaucoma from optical coherence tomographic (OCT) imaging with an accuracy of 94 percent.
Coronary Artery Disease (CAD) is a condition in which plaque forms on the walls of coronary arteries, causing them to narrow.
At MICCAI 2018, IBM researchers present their latest findings in applying deep learning to overcome some technical challenges in medical image analysis.
Could you make a critical health policy decision using four-year old data?
Scientists from IBM, UCSF, Stanford University, and the University of Haifa are engineering a new antiviral agent against viruses such as polio.
Could tiny ink spots, the size of a pinhead, fight counterfeiting medical tests? We believe the answer is yes.
IBM Research is collaborating with industry and academic partners to investigate how IoT, AI and cloud technologies can advance home-based integrated care for persons with multiple chronic diseases.
IBM Research developed a deep learning model to predict how many times someone will visit the emergency room, which may help to alleviate ER overcrowding.