Overview
Ailin (Irene) Song, MD, MHSc is an ophthalmology resident at Duke University. She completed her undergraduate education at Dartmouth College and her medical and clinical research training at Duke University. Her research focuses on applying machine learning techniques to analyze large datasets such as ophthalmic images and claims data in ophthalmology. She is also passionate about interdisciplinary collaborations that improve eye care and preventive care in a diversity of settings (e.g. emergency rooms and primary care clinics). Her work in these areas has been recognized with awards from the National Institutes of Health and eye research foundations such as Research to Prevent Blindness.
Current Appointments & Affiliations
House Staff
Ophthalmology,
Clinical Science Departments
House Staff
Medicine,
Clinical Science Departments
Recent Publications
Migraine May Represent an Independent Risk Factor for Retinal Stroke: A Population-Based Cohort Study.
Journal Article Clin Neurol Neurosurg · November 2024 INTRODUCTION: Migraine is an established risk factor for cerebral ischemic stroke, with an especially robust association in patients with migraine with aura. However, it is not known if migraine is a risk factor for retinal stroke (central or branch retina ... Full text Link to item CiteAdalimumab to treat noninfectious pediatric chronic anterior uveitis: a case series.
Journal Article Int Ophthalmol · September 10, 2024 PURPOSE: Evaluate the response to adalimumab (ADA) in pediatric chronic anterior uveitis (pCAU). METHODS: Retrospective chart review of pCAU patients treated with ADA. Outcomes evaluated included the proportion of patients achieving zero ocular inflammatio ... Full text Link to item CiteRobOCTNet: Robotics and Deep Learning for Referable Posterior Segment Pathology Detection in an Emergency Department Population.
Journal Article Transl Vis Sci Technol · March 1, 2024 PURPOSE: To evaluate the diagnostic performance of a robotically aligned optical coherence tomography (RAOCT) system coupled with a deep learning model in detecting referable posterior segment pathology in OCT images of emergency department patients. METHO ... Full text Link to item CiteRecent Grants
The Path to Improving Diabetic Retinopathy Outcomes: Evaluating Neighborhood Characteristics and Healthcare Quality
ResearchCollaborator · Awarded by National Institutes of Health · 2024 - 2026Using Machine Learning to Identify Eye Disease in Optical Coherence Tomography Images Obtained from a Robotically-Aligned Scanner
FellowshipPI-Fellow · Awarded by Research To Prevent Blindness, Inc. · 2021 - 2021View All Grants