Here is how AI delivers enhanced health care

The University at Buffalo launches Center for Translational AI and Digital Health

A person in a laboratory closely examines a prototype electronic device composed of stacked circuit boards mounted on metal standoffs. The person points toward illuminated components on the underside of the device while leaning over a workbench. A laptop and additional equipment are visible nearby, highlighting hands-on testing and development of electronics or embedded systems technology.

The $8.3 million National Institutes of Health-funded center uses artificial intelligence and emerging medical technologies to improve speed, precision and accessibility for people receiving health care. 

The new Center for Translational AI and Digital Health focuses on developing point-of-care technologies — like medical devices and diagnostic tests — that shift care from laboratories to the patient's side. Wenyao Xu, Carl V. Granger Endowed Chair Professor in the Department of Computer Science and Engineering, is the center's director. 

The center leverages the School of Engineering and Applied Sciences and UB's strengths in AI, biomedical engineering and clinical care as a hub that unites researchers, physicians and industry partners. 

Three competitive R01 grants from the NIH support the center, and each focuses on different a goal the center will pursue. 

The NIH grants support the refining a hearing test that measures how a patient's pupils involuntarily change size in response to sound, developing a smartphone- and wearable-based intervention for smoking cessation among HIV survivors, and creating medical imaging technology that uses hyperspectral imaging and AI to monitor wound healing and other skin conditions. 

Wenyao XuAssociate Professor, Department of Computer Science and Engineering, School of Engineering and Applied Sciences