Imaging and Informatics in ROP

I will briefly summarize the history of the “Imaging and Informatics in ROP” (i-ROP) consortium, originally started by Michael Chiang, and how a focus on building a multidisciplinary team with expertise in informatics and data science laid the groundwork for a number of advances in the field. Downstream work led to innovations in basic machine learning methodology, understanding of clinical diagnostic patterns and inter-observer variability which influenced the most recent international classification of ROP, a novel potential genetic association, disease epidemiology in low and middle income countries, the potential for racial/ethnic bias in AI, federated learning, and more with translational applications beyond ROP.  I will touch on a number of topics very superficially and then can discuss in more detail whatever is most interesting in the Q&A.

Bio:

Dr. Campbell is the Edwin and Josephine Knowles Professor of Ophthalmology at the Casey Eye Institute, Oregon Health & Science University. He has a clinical focus on adult and pediatric vitreoretinal surgery, and is a translational clinician scientist broadly focused on imaging in pediatric vitreoretinal disease. Specifically, he has been actively involved in two main research areas: the development of artificial intelligence (AI) algorithms in retinopathy of prematurity (ROP), and optical coherence tomography (OCT) for pediatric retina.  Dr. Campbell is the PI for the Imaging and Informatics in ROP (i-ROP) research consortium, previously led by Michael Chiang (now director of the National Eye Institute). He has also been a close collaborator with the Center for Ophthalmic Optics & Lasers [COOL Lab] headed by David Huang, MD at OHSU. He has received funding from the US Agency for International Development and the Seva Foundation for collaborative work with the Aravind Eye Institute implementing and evaluating AI technology for ROP screening in low and middle income countries. Dr. Campbell has published more than 150 peer-reviewed articles, and is the recipient of a Career Development Award from Research to Prevent Blindness. He was recently a member of the 3^rd International Classification of Retinopathy of Prematurity Committee, and is the Chair of the American Academy of Ophthalmology Committee on Artificial Intelligence.

If you would like to be added to the mailing list for the UCSD Ophthalmology Informatics and Data Science Seminar Series please email vpatronilo@health.ucsd.edu

Zoom Link: https://uchealth.zoom.us/j/83927612329?pwd=SFBnTllsWERRclRjVENPWkZxV2VEUT09

Meeting ID:  839 2761 2329