DOS-1 Session I: THE FUTURE OF AI AND MACHINE LEARNING IN OPHTHALMOLOGY
About this Session
Session Moderators: Theodore leng, MD,
Grayson W Armstrong, MD, MPH
Session Panelist: Pam Nesbitt, MS
A session on the impact of AI and ML on ophthalmology.
Presentations in this Session
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Machine Learning Models for Dry Eyes Diagnosis Using Real-World Clinical Data
Karl G. Stonecipher, MD -
Artificial Intelligence Formula for Intraocular Lens Power Calculation in Short Eyes
Douglas D. Koch, MD, ABO -
AI-Based and Constants-Free IOL Power Calculation and Associated Methods for Performance Evaluation
Li Wang, MD, PhD -
Development of a Novel AI Tool to Help Surgeons Choose the Best IOL Formula for Any Eye
Mark C. Lobanoff, MD, ABO -
Predicting Vision Outcomes in Cataract Surgery with Machine Learning
Shravanthi Reddy, PhD -
A Framework for AI-Based Surgical Guidance in Ophthalmic Surgery
Yannek Leiderman, MD -
AI Application and Research from the Field in LMIC
Hunter Cherwek, MD -
Artificial Intelligence in Ophthalmic Imaging
Brian Fernandez, MD -
Using Openai and Natural Language Processing (NLP) for Workup and Evaluation of Ophthalmic Diseases
Gurpal Virdi, MD -
Automated Hydroxychloroquine Retinopathy Screening Using Machine Learning
Katherine Talcott, MD -
Prediction of Imminent Conversion to Neovascular Age-Related Macular Degeneration Using Deep Learning and 3D Optical Coherence Tomography Volumes
Alvin Liu, MD -
Machine Learning to Predict Visual Acuity Following an Open Globe Injury
Keir Johnson, MD