The Center for Artificial Intelligence in Diagnostic Medicine (CAIDM) at the University of California, Irvine empowers health care providers, researchers, and patients through the deployment of artificial intelligence (AI) healthcare applications. The Center accomplishes its goal by integrating the clinical expertise of our providers at UCI with multiple disciplines, including data scientists and software engineers. The Center recognizes that leveraging the knowledge of our clinical colleagues is critical for designing impactful applications that will have long-term value that will ultimately improve patient care.
PETER D. CHANG, MD
Peter D. Chang, MD joined the University of California, Irvine in July 2018. He currently serves as the Assistant Professor-in-Residence for the Department of Radiological Sciences and Co-Director for the Center for Artificial Intelligence in Diagnostic Medicine (CADIM), a new multi-specialty initiative to develop and integrate artificial intelligence technology across the UC Irvine healthcare system.
He is also 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 new 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
Daniel S. Chow, MD is the Co-Director for the Center for Artificial Intelligence in Diagnostic Medicine. He joined the University of California, Irvine in December 2016 and holds an appointment as Assistant Professor-in-Residence for the Department of Radiological Sciences and Neurology.
Dr. Chow completed his medical degree at the University of California, Los Angeles in 2010. He subsequently completed his radiology residency at Columbia University Medical Center through the Leonard Holman Research Pathway. During his residency, Dr. Chow received numerous awards including the RSNA Roentgen Resident / Fellow Research Award, ARRS Resident in Radiology President's Award, and RSNA Resident Research Grant Award. After completing residency in 2015, he completed his neuroradiology fellowship training at the University of California, San Francisco. After completing his fellowship, Dr. Chow joined the neuroradiology faculty at the University of California, Irvine.
His work has led to several grant awards, over 40 peer-reviewed publications, 6 book chapters, and over 50 abstracts. Dr. Chow provides his expertise to several professional organization with a focus on clinical applications for artificial intelligence tools. Dr. Chow works regularly with students and other researchers by providing guidance and assistance in designing studies that seek to leverage artificial intelligence for biomedical applications.