Research Focus
DM2L laboratory at the Bascom Palmer Eye Institute (BPEI) develops advanced AI and data-science methods to automatically diagnose, prognoses, monitor, and manage ophthalmic diseases. Our research analyzes multimodal data, including retinal fundus photos, anterior segment images, OCT and OCT-A, visual fields (VFs), corneal biomechanics, electronic health records (EHRs), to create predictive, interpretable, and clinically relevant AI tools.
We work on a broad spectrum of AI models including conventional machine learning, deep convolutional neural networks (CNNs), vision transformers, large language models (LLMs), foundation models, and vision language models (VLMs). We work on several eye diseases such as glaucoma, neuro-ophthalmic conditions, diabetic retinopathy (DR), age-related macular degeneration (AMD), corneal ectasia, uveitis, dry eye disease (DED), and ocular oncology.
We have organized cornea research network (CRN) and uveitis research network (URN) initiatives to accumulate large datasets and develop AI models for quantification, digital biomarker discovery, and disease detection and scoring.
Through close collaboration with clinicians, engineers, and data scientists, we aim to bridge the gaps and advance precision ophthalmology to ultimately improve vision health.
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