About Us
The BRAIN Lab at UCSF, co-directed by Dr. Andreas Rauschecker and Dr. Leo Sugrue, focuses on applying artificial intelligence (AI) and advanced image analysis to neuroimaging for improved understanding of brain health and disease. Their interdisciplinary work integrates neuroscience, neuroradiology, psychiatry, electrical engineering, and computer science.
New Breakthroughs to Imaging Research
Dr. Andreas Rauschecker develops AI tools to assist in diagnosing and monitoring neurological diseases using brain MRI. At UCSF’s Center for Intelligent Imaging, his team collaborates across the university to leverage privacy-secured medical records and MRI data to train HIPAA-compliant AI models. These tools enhance radiologists' diagnostic accuracy—especially for rare diseases—and help non-specialists reach subspecialist-level performance. The goal is to integrate advanced imaging analysis with long-term patient data to improve care for patients with neurological conditions, all while maintaining high privacy standards.
Projects
AI for Neurological Disease Monitoring and Prediction
Creating tools to monitor and predict brain tumors, demyelinating, and neurodegenerative diseases.
Advanced Image Analysis for Neurological Disease
Using advanced imaging to study neurological disorders like gliomas, CNS lymphoma, Alzheimer’s, and ALD.
Advanced Image Analysis and AI Tools Reading and the Brain
Studying neural mechanisms of reading and literacy through neuroimaging.
AI Observe Brain Development for Fetal Brain MRI
Using AI on fetal MRI to improve in utero brain development assessment.
Please find more information about these and other projects at the Rauschecker Sugrue Lab website.