Yaser S. Abu-Mostafa
Professor of Electrical Engineering and Computer Science
machine learning, artificial intelligence, neural networks, computational finance, probability and statistics
Medical Applications of Artificial Intelligence
Our current research focus is the use of Artificial Intelligence (AI) and Machine Learning (ML) techniques to enable medical applications that were not possible before. We have 3 active projects:
(1) We use ultrasound technology to measure the absolute arterial blood pressure non-invasively without the need for any calibration. This research has already led to a device that can produce the full waveform of blood pressure accurately, not just the systolic and diastolic values. AI was employed to make the measurement accurate, robust, and adaptive.
(2) We use AI to detect Congestive Heart Failure and other conditions based on videos of the so-called sniff test in Medicine. This is an ongoing collaboration with UCSF based on the largest annotated data set of its kind.
(3) We are in the early phase of a project on detecting mini clots in the bloodstream non-invasively based on a Caltech patent. The results would lead to prediction of impending stroke before it actually takes place, thus allowing preventive and mitigative intervention.
In all of these projects, ML is an essential technology to deal with the realities of the human body that do not fit idealistic assumptions or lend themselves to conclusive mathematical analysis.