Deployment of PHD-AI tools to improve patient health by enhancing disease detection, diagnosis, and prediction for oncologic and neurologic disorders.
AI tools for detection/screening – At UCI Health, we are already deploying AI tools to automatically triage head CTs by detecting and quantifying brain bleeds, which will provide real-time alerts to allow clinicians to respond quicker. We are expanding our platform to include stroke detection, and with additional support, this can be applied to other emergent conditions.
PHD-AI tools will guide treatment and management of patients, including diagnosis, surgical planning, and selection of appropriate therapies initially targeting oncolologic and neurologic disorders.
Development of a Distributed Learning Infrastructure will allow AI tools to learn simultaneously from multiple hospitals and clinics, protecting patient data while accelerating development and deployment of tools. This infrastructure is only possible if all participating sites are connected via a super high-speed fiber optic network. Fortunately, nearly all UC campuses are connected along the West Coast via the Pacific Research Platform (a giant fiber optic network), and UCI is currently leading one of the inaugural projects to tackle this exciting challenge. If successful, this would become the largest supercomputer in the United States.