Commentary

Podcast

Innovation Series: Putting the buzz of large language models in ophthalmology into perspective with Robert T. Chang, MD

Robert T. Chang, MD, from Stanford University discusses how large language models are transforming ophthalmology by enhancing patient communication, documentation, and education, while also addressing ethical considerations and potential future applications in glaucoma care.

In this episode of the Ophthalmology Times EyePod podcast, Robert T. Chang, MD, from Stanford University, discusses the role of large language models (LLMs) and AI in ophthalmology. He explains how LLMs, like ChatGPT, are transforming information retrieval, patient communication, and education.

Chang emphasizes how AI assists clinicians in documenting patient interactions, creating customized educational content, and exploring potential future uses, such as efficient data aggregation for research. He also addresses challenges, including ethical concerns around data privacy and the need for clinicians to verify AI outputs.

Chang highlights how LLMs could streamline workflows and support both patient care and professional training, offering a promising, albeit cautious, outlook on AI's impact in ophthalmology.

Newsletter

Don’t miss out—get Ophthalmology Times updates on the latest clinical advancements and expert interviews, straight to your inbox.

Related Videos
(Image credit: Ophthalmology Times) NeuroOp Guru: Using OCT to forecast outcomes in ethambutol optic neuropathy
(Image credit: Ophthalmology Times) Inside NYEE’s new refractive solutions center with Kira Manusis, MD
(Image credit: Ophthalmology Times) Dilsher Dhoot, MD, on the evolution of geographic atrophy therapy: where are we now?
(Image credit: Ophthalmology Times Europe) Anat Loewenstein, MD, shares insights on the real-world results of remote retinal imaging
(Image credit: Ophthalmology Times) Two-wavelength autofluorescence for macular xanthophyll carotenoids with Christine Curcio, PhD
(Image credit: Ophthalmology Times) FLIO and the brain: Making the invisible visible with Robert Sergott, MD
(Image credit: Ophthalmology Times) Structure-function correlates using high-res OCT images with Karl Csaky, MD, PhD
(Image credit: Ophthalmology Times) SriniVas Sadda, MD, on high-res OCT of atrophic and precursor lesions in AMD
(Image credit: Ophthalmology Times) Christine Curcio, PhD, shares histology update supporting review software and revised nomenclature for <3 μm OCT
© 2025 MJH Life Sciences

All rights reserved.