Agenda
May 6, 2023
All times are in Eastern Time Zone.
Section 1
Moderator: Rishi P. Singh, MD
8:00 AM Automated fluid monitoring for optimized real-world management of nAMD
Ursula Schmidt-Erfurth, MD
8:08 AM AI accelerating nAMD Immuno-genetic phenotyping
Elliott Harry Sohn
8:16 AM Microperimetry data from OAKS/DERB
Nadia Waheed, MD
8:24 AM AI-Based spatiotemporal observations of retinal fluid dynamics
Anat Loewenstein, MD
8:32 AM Panel Discussion: All Section 1 Faculty
Section 2
Moderator: Rishi P. Singh, MD
8:47 AM Artificial intelligence-based predictions in nAMD
Aaron Lee, MD
8:55 AM Prediction models for Progression of GA
Amitha Domalpally, MD, PhD
9:03 AM Predicting GA Growth rate with clinical and derived imaging features
Daniela Ferrara, MD, PhD, FASRS
9:11 AM Deep learning to predict future region of growth of GA from fundus autofluorescence images
Neha Anegondi
9:19 AM Instance segmentation of reticular pseudodrusen in AMD with deep learning
Zhichao Wu
9:27 AM Panel Discussion: All Section 2 Faculty
9:42 AM Break
Section 3
Moderator: Theodore Leng, MD
9:47 AM Foundation models in retinal imaging
Pearse Keane, MD
9:55 AM Robust real-world clinical AI validation: A call to action and a proposed solution
Edward Korot, MD
10:03 AM A federated learning framework for training multi-class OCT classification models
Minhaj Alam
10:11 AM Potential Impact of AI Chatbots: For Editors, Authors, and Readers of Peer-Reviewed Ophthalmic Literature
Neil Bressler, MD
10:19 AM AI-based denoising
Netan Choudhry, MD
10:27 AM Panel Discussion: All Section 3 Faculty
Section 4
Moderator: Theodore Leng, MD
10:42 AM AI-human hybrid teleophthalmology for DR screening
Eliot Dow
10:50 AM Leveraging simple AI algorithms to augment DR screening
Yasha Modi, MD
11:58 AM Early detection of DR using deep learning techniques
Vidya Sagvekar, MD
11:06 AM Diagnostic performance of an automated, offline AI system integrated on a smartphone fundus camera for screening AMD
Divya Parthasarathy Rao, MD
11:14 AM Evaluation of pediatric wide-field fundus photos using AI
Lejla Vajzovic, MD
11:22 AM Scoring in ROP and Pediatric Retinopathies to Guide AI for Intervention and Monitoring
Darius M. Moshfeghi, MD
11:30 AM Panel Discussion: All Section 4 Faculty
11:45 PM Break
Section 5
Moderator: Jennifer I. Lim, MD
11:50 AM Application of AI for the conduction of large scale systematic reviews and meta-analyses
Abed Baiad, BSc, MD(c)
11:58 AM Randomized controlled trials of AI Applications in Ophthalmology
Jonathan Zhao, MS
12:06 PM Biomarkers of RVO using a deep learning strategy applied to images obtained by OCT angiography
Laura Gallego
12:14 PM DR screening using AI
Zineb Farahat
12:22 PM Retinal sheen impact on AI readings in type I DR
Rita Vought
12:30 PM Data fusion in deep learning OCTA segmentation and classification
Xincheng Yao, PhD
12:38 PM Panel Discussion: All Section 5 Faculty
Section 6
Moderator: Jennifer I. Lim, MD
12:53 PM Automated identification of GA secondary to AMD using deep learning and multi-modal real-world ophthalmic images in the IRIS registry
Zhongdi Chu, PhD, MSc
1:01 PM A quantitative and topographical type-based comparative analysis of exudative biomarkers in nAMD using AI
Bilal Haj Najeeb, MD, PHD
1:09 PM Development and validation of a deep learning fluid monitoring tool using OCT in clinical workflows
AriadneWhitby, PhD
1:17 PM The value of AI-based reading in prospective and retrospective clinical studies in nAMD and GA
Cornelia Kutzer
1:25 PM AI-based automated segmentation of ellipsoid zone at risk for predicting GA lesions on spectral domain OCT
Gagan Kalra, MD
1:33 PM Predicting 5-Year progression to vision-threatening complications using machine learning
Dimitrios Damopoulos, PhD
1:41 PM Feature tracking and image segmentation in real-time via deep learning in vitreoretinal surgery: A framework for AI-mediated surgical guidance and assessment
Yannek I. Leiderman, MD
1:49 PM Panel Discussion: All Section 6 Faculty
2:04 PM Conclusion
*Agenda and faculty are subject to change.