Biography:
Jay Chhablani is a Professor of Ophthalmology and a Vitreo-Retinal Surgeon at the Department of Ophthalmology at the University of Pittsburgh, Pittsburgh, USA. He is the Director of Clinical Research at the UPMC Vision Institute. He established the “Choroid Analysis and Research (CAR) Lab” at the University of Pittsburgh which focuses on computational as well as biological research in the field of choroid. His areas of interest are macular disorders, automated retinal image analysis and advanced imaging techniques. He has been consistently funded by the National Institute of Health (NIH) and various foundations. He has published more than 550 articles in peer-reviewed journals with a focus in the field of choroid. He is the editor of books “Choroidal Disorders”, “Central Serous Chorioretinopathy” and “Choroidal Neovascularization”. He is on the reviewing boards of all high-impact journals including Science Translational Medicine and Lancet. He is also on the editorial board of several journals including the American Journal of Ophthalmology. He serves on the grant reviewing board of various funding agencies. He is a member of many esteemed societies such as the Macula Society and Gonin Club. He is a member of various scientific committees in various national and international societies including the American Academy of Ophthalmology. He has delivered more than 200 invited lectures and has been invited for visiting professorship by many universities around the world. He has won several national and international awards and delivered multiple named lectures.
Abstract:
Choroid is the most vascular structure of the eye and plays an important role in supplying nutrition to outer retinal structures. In last 2-decades with advancing imaging techniques, our understanding about choroid has significantly improved. Various choroidal biomarkers based on clinical imaging has become part of routine clinical practice. Evolving understanding has added newer disease entities, and role of choroid in various diseases is more recognizable. Our group has reported various choroidal qualitative and quantitative imaging biomarkers, and with the use of artificial intelligence, newer approaches for choroidal analysis is being evaluated. This presentation will include a brief discussion on evolution of choroidal analysis, current applications, and future directions of choroidal imaging and choroidal analytics. Laser doppler holography, choriocapillaris imaging and 3- dimensional imaging of choroid will be discussed. Applications of deep learning and GAN-based approaches for choroidal analysis will be demonstrated.