Agenda

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              Findings from artificial intelligence studies in the AREDS/AREDS2 trials
                              TBD
8:32 AM              AI-Based spatiotemporal observations of retinal fluid dynamics
                              Anat Loewenstein, MD
8:40 AM             Panel Discussion: All Section 1 Faculty

Section 2
Moderator: Rishi P. Singh, MD

8:55 AM             Artificial intelligence-based predictions in nAMD
                              Andrew Lee
9:03 AM            Prediction models for Progression of GA
                             Amitha Domalpally, MD, PhD
9:11 AM              Predicting GA Growth rate with clinical and derived imaging features
                             Daniela Ferrara, MD, PhD, FASRS
9:19 AM             Deep learning to predict future region of growth of GA from fundus autofluorescence images
                             Neha Anegondi
9:27 AM            Instance segmentation of reticular pseudodrusen in AMD with deep learning
                             Zhichao Wu
9:35 AM            Panel Discussion: All Section 2 Faculty

9:50 AM Break

Section 3
Moderator: Theodore Leng, MD

9:55 AM              Foundation models in retinal imaging
                              Pearse Keane, MD
10:03 AM            Privacy preserving technologies in ophthalmology
                              Daniel Ting, MD
10:11 AM              Robust real-world clinical AI validation: A call to action and a proposed solution
                             Edward Korot, MD
10:19 AM             A federated learning framework for training multi-class OCT classification models
                             Minhaj Alam
10:27 AM            Visual acuity and artificial intelligence
                             Neil Bressler, MD
10:35 AM            AI-based denoising
                             Netan Choudhry, MD
10:43 AM           Panel Discussion: All Section 3 Faculty

Section 4
Moderator: Theodore Leng, MD

10:58 AM            AI-human hybrid teleophthalmology for DR screening
                              Eliot Dow
11:06 AM            Leveraging simple AI algorithms to augment DR screening
                             Yasha Modi, MD
11:14 AM             Early detection of DR using deep learning techniques
                            Vidya Sagvekar, MD
11:22 AM            Diagnostic performance of an automated, offline AI system integrated on a smartphone fundus camera for screening AMD
                             Divya Parthasarathy Rao, MD
11:30 AM            Evaluation of pediatric wide-field fundus photos using AI
                             Lejla Vajzovic, MD
11:38 AM            Panel Discussion: All Section 4 Faculty

12:03 PM Break

Section 5
Moderator: Jennifer I. Lim, MD

12:08 PM            Application of AI for the conduction of large scale systematic reviews and meta-analyses
                             Abed Baiad, BSc, MD(c)
12:16 PM            Randomized controlled trials of AI Applications in Ophthalmology
                             Jonathan Zhao, MS
12:24 PM            Biomarkers of RVO using a deep learning strategy applied to images obtained by OCT angiography
                             Laura Gallego
12:32 PM            DR screening using AI
                             Zineb Farahat
12:40 PM           Retinal sheen impact on AI readings in type I DR
                             Rita Vought
12:48 PM           Data fusion in deep learning OCTA segmentation and classification
                             Xincheng Yao, PhD
12:56 PM           Panel Discussion: All Section 5 Faculty

Section 6
Moderator: Jennifer I. Lim, MD

1:11 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
1:19 PM             A quantitative and topographical type-based comparative analysis of exudative biomarkers in nAMD using AI
                           Bilal Haj Najeeb, MD, PHD
1:27 PM            Development and validation of a deep learning fluid monitoring tool using OCT in clinical workflows
                           AriadneWhitby, PhD
1:35 PM            The value of AI-based reading in prospective and retrospective clinical studies in nAMD and GA
                           Cornelia Kutzer
1:43 PM            AI-based automated segmentation of ellipsoid zone at risk for predicting GA lesions on spectral domain OCT
                           Gagan Kalra, MD
1:51 PM             Predicting 5-Year progression to vision-threatening complications using machine learning
                          Dimitrios Damopoulos, PhD
1:59 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
2:07 PM          Panel Discussion: All Section 6 Faculty

2:22 PM Conclusion

*Agenda and faculty are subject to change.