Data Science and AI Symposium

2024 Data Science and AI Symposium

Harvard Ophthalmology hosted its inaugural Data Science and AI Symposium last week at Mass Eye and Ear. The two-day event—attended by more than 175 people—featured experts in the field discussing the latest advances from “Big Data” and AI in vision research as well as the challenges remaining that limit the translation of findings from data science and AI research into the clinic.

The Pre-Meeting event on Thursday afternoon focused on emerging technologies in AI-driven diabetic retinopathy screening and included two panels and a keynote presentation by Michael Abramoff, MD, PhD, the Robert C. Watzke, MD Professor of Ophthalmology and Visual Sciences at the University of Iowa.

The Meeting event on Friday featured a number of presentations and breakout sessions, as well as a poster session and two keynote presentations. Pearse Keane, MD, MSc, Professor of Artificial Medical Intelligence at University of College London, delivered the Data Science Keynote Lecture, and Felipe Medeiros, MD, PhD, Professor of Ophthalmology at the University of Miami and Vice-Chair of Research at the Bascom Palmer Eye Institute, delivered the AI Keynote Lecture. The event concluded with a networking reception and dinner. 

Congratulations to our poster contest winners:

First Place: Blake Hauser, MD, PhD, Harvard Ophthalmology, Structure-Based Network Analysis Predicts Pathogenic Variants in Human Proteins Associated with Inherited Retinal Disease

Second Place: Eden Ruffell, Moorfields Eye Hospital, London, Federated Fine-tuning for Foundation Models in Generalizable Disease Detection

Third Place: Sierra Ha, Harvard Medical School, Artificial Intelligence-Based Clinical Impact Analysis of Teprotumumab (Tepezza) in Thyroid Eye Disease

Thank you to Meeting Co-Directors Lucia Sobrin, MD, MPH, and Tobias Elze. PhD; Pre Meeting Co-Directors John B. Miller, MD, Grayson Armstrong, MD, MPH, Alice Lorch, MD, MPH, and David S. Friedman, MD, PhD, MPH; and event team members Erica Eaton, Erin Le, Danielle Smith, and Christina Stetson for their hard work putting together this event.

data_science_symposium_.png

amar_2o23.png