Project to Apply Artificial Intelligence to Imaging of Brain Emergencies Receives $1.2M

When a patient has a neurological emergency, doctors need to see inside the brain with imaging equipment, like CT scanners, to find out what the problem is. Otherwise they will not know how to intervene to save fragile brain tissue, which can die within minutes of a catastrophic event such as a stroke, aneurysm rupture or traumatic brain injury.
Pratik MukherjeePratik Mukherjee, MD, PhD

Pratik Mukherjee, MD, PhD, and Esther Yuh, MD, PhD, professors of Radiology and Biomedical Imaging at UC San Francisco, are trying to make imaging machines smarter, so they can detect emergencies and triage patients for immediate treatment.

Their project was one of six that was selected by the California Initiative to Advance Precision Medicine (CIAPM) to receive up to $1.2 million in grant funding.

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