Meet The Directors
Peter D. Chang, MD
Co-Director, CAIDM
Peter D. Chang, MD joined the University of California, Irvine in July 2018. He currently serves as the Associate Professor for the Departments of Radiological Sciences and Computer Science. Additionally, he is the Co-Director for the Center for Artificial Intelligence in Diagnostic Medicine (CAIDM), a multi-specialty initiative to develop and integrate artificial intelligence technology across the UC Irvine healthcare system.
He is also a co-founder of multiple AI startups including most recently Avicenna.ai, a company focused on deep learning for medical imaging. Dr. Chang’s unique perspective arises from experience both as a radiologist physician and software engineer with expertise in developing deep learning algorithms, working closely with many industry partners including Nvidia, Amazon and Canon Medical. His work has led to numerous abstracts, manuscripts, five best conference paper awards, two patents/copyrights, and top finishes in various competitions including the international 2016 MICCAI challenge. He is currently a member of national AI steering committees for the RSNA, ASNR, SIIM and ACR.
At UCI, he leads the healthcare AI curriculum which trains the next generation of physician-scientists in understanding and developing cutting-edge AI tools. Dr. Chang is regularly invited to speak at various national and international conferences, providing insight into the strengths and weakness of current AI technology as it relates to clinical problems in medicine.
DANIEL S. CHOW, MD, MBA
Co-Director, CAIDM
In his role as Director for the Advanced Analytics in Artificial Intelligence (A3), a unit under the UCI Institute for Precision Health (IPH), Dr. Daniel Chow leads efforts focused on implementing and validating novel digital health technologies into patient care settings. He also serves as the Section Chief of the Division of Neuroradiology and Vice Chair of Innovation and Entrepreneurship in the Department of Radiological Sciences at UCI Health, providing leadership and excellence in patient care through his novel approaches to treatment and commitment to community health. His contributions to improving healthcare include increasing referrals to existing practices through imaging automation, decreasing readmission and prolonged hospital stays through AI-based scoring tools, and improving patient understanding of cancer detection by translating radiology reports into lay terms.
Dr. Chow completed his medical degree at the University of California Los Angeles, a radiology residency at Columbia University, New York, and a neuroradiology fellowship at the University of California, San Francisco. He also serves as an Army Reservist and a Diagnostic Radiologist. Over his career, he has authored/co-authored over 80 peer-reviewed publications and received numerous scientific and professional awards, including the Holman Graduate, ARRS President’s Award, and Poets & Quants. He has served on multiple national and international scientific committees.