Daniel Chow

Daniel Chow is an Associate Professor In Residence in the Department of Radiological Sciences at the University of California, Irvine (UCI) School of Medicine. He serves as Co-Director of the Center for Artificial Intelligence in Diagnostic Medicine, Section Chief of Neuroradiology, and Vice Chair of Innovation and Entrepreneurship. He also leads the Advanced Analytics in Artificial Intelligence (A3) unit within the UCI Institute for Precision Health.

His education includes a PhD from the University of California, Los Angeles; Radiology Residency at Columbia University; Neuroimaging Fellowship at the University of California, San Francisco; and an MBA from the University of California, Irvine.

Daniel Chow's research focuses on the integration of artificial intelligence into diagnostic radiology and patient care. His work emphasizes healthcare data analytics, AI-driven clinical tools, and digital health innovation. Key areas include automating imaging workflows, reducing hospital readmissions through AI scoring, and improving patient comprehension of radiology reports by translating them into lay language.

His research has led to over 80 peer-reviewed publications, though specific titles are not listed in the provided text. The thematic focus of his work spans artificial intelligence in medicine, medical imaging informatics, and precision diagnostics.

• Scientific Awards:
• Holman Graduate Award
• ARRS President’s Award
• Poets & Quants recognition

Daniel Chow has served on multiple national and international scientific committees, contributing to the advancement of radiology and AI in healthcare. He has led major initiatives in innovation and entrepreneurship within radiology and has secured leadership roles in research centers focused on digital health. His work bridges academic research, clinical practice, and technological innovation.

He is affiliated with the UCI Institute for Precision Health and leads the A3 (Advanced Analytics in Artificial Intelligence) unit, which focuses on validating and implementing digital health technologies in real-world clinical settings. His leadership extends to mentoring and shaping the future of AI in diagnostic medicine.