Dr. Corey Arnold stands as a distinguished academic leader at the forefront of applying artificial intelligence to healthcare innovation. He serves as Professor of Bioengineering, Electrical and Computer Engineering, Radiological Sciences, and Pathology & Laboratory Medicine at UCLA. In addition to these roles, Dr. Arnold holds the significant position of Vice Chair of Research in the UCLA Department of Radiological Sciences, demonstrating his leadership and influence across multiple disciplines. His academic journey began with a Bachelor of Science in Biomedical Engineering and Computer Science from the University of Wisconsin, culminating in a PhD in Information Science from UCLA, where he has established himself as a central figure in biomedical artificial intelligence research.
Dr. Arnold's pioneering research program focuses on developing machine learning techniques to analyze multi-modal medical data sets including radiology images and whole slide pathology images. His laboratory has made significant contributions to computational disease phenotyping, creating integrative models that combine imaging data with clinical information to improve diagnostic accuracy and patient outcomes. Among his notable projects was the development and validation of social-media-based patient-reported outcomes to estimate health-related quality of life, funded by the Robert Wood Johnson Foundation, which demonstrated innovative approaches to cost-effective clinical assessment. His work on creating multimodal nomograms for risk stratification has provided clinicians with valuable tools for more precise patient management and treatment planning in healthcare settings.
As the leader of the Biomedical Artificial Intelligence Research Lab, Dr. Arnold has cultivated a dynamic research environment focused on translating machine learning advances into practical healthcare applications. He also directs the Computational Diagnostics program, a collaborative initiative bridging multiple departments to advance diagnostic medicine through artificial intelligence. His research program continues to evolve with particular emphasis on digital pathology and multi-modal modeling approaches that integrate diverse healthcare data streams. Looking forward, Dr. Arnold remains committed to developing scalable AI solutions that address critical challenges in medical imaging analysis while training the next generation of researchers who will advance the field of biomedical artificial intelligence.
