Faculty Profile: Chow, Daniel

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Faculty Information Lab Information (Packet Type, Course Title, & Department) Location
Chow, Daniel
Lab Contact:
Daniel Chow
Department: Radiology
Calit2 Building, Suite 4500

Research Description

The primary mission of the Center for Artificial Intelligence in Diagnostic Medicine (CAIDM) is to empower health care providers, researchers, and patients through the deployment of artificial intelligence (AI) healthcare applications. Specifically, the center focuses on developing deep learning approaches for (1) detection, (2) characterization, and (3) prognostication for a variety of conditions in an effort to improve healthcare.

Currently, we have active projects in (1) triage of radiological images in the emergency setting, including cerebrovascular disease and trauma and (2) characterization of oncologic images, including brain tumors. Under the supervision of faculty members and senior programs and residents, students will have an opportunity to contribute to peer-reviewed manuscript writing and presentations at national conferences.

Requirements to Participate

1-2 Years Commitment. 3-4 hours per unit. Expectation 10 hours per week.

Requirements: Interest in Artificial Intelligence and/or Healthcare application development. Programming expertise is not required, but a willingness to learn is encouraged. Submit resume and unofficial transcript with proposal. 1-2 year Commitment. Minimum 3-4 units.

Faculty Means of Evaluation

Research presentation at the end of the rotation, participation in lab meetings, commitment, and professionalism.