This presentation will explore the critical process of curating medical imaging data for AI algorithm development in ophthalmology, highlighting the challenges and current limitations in data curation. It will discuss benchmark datasets, reference standards for FDA validation, and innovative strategies to enhance data availability. Attendees will gain insights into best practices and future directions in image curation for advancing AI applications in eye care.
Dr. Domalpally is the Research Director at Wisconsin Reading Center, University of Wisconsin-Madison and is actively involved in research of clinical trial imaging endpoints with a focus on retinal diseases. Her research interest involves novel outcomes and new imaging techniques to understand the natural history and prognostic markers for complex retinal diseases such as age-related macular degeneration and diabetic retinopathy. As Director of the A-EYE Research Unit, she is also involved in developing and implementing artificial intelligence algorithms for retinal imaging. She also serves as Research Informatics Officer at the University of Wisconsin-Madison, specializing in privacy-compliant pipelines for clinical imaging and informatics, focusing on the translation of these technologies into practical healthcare applications.