
Hosted by American Academy of Ophthalmology · EN

A special episode hosted by Ophthalmology's Editor-in-Chief, Dr. Bennie Jeng. He is joined by Associate Editor Dr. Aaron Lee to announce our new special collection on Artificial Intelligence in Ophthalmology. They discuss how AI is already changing the practice of ophthalmology and medical publishing. Dr. Lee then outlines the types of articles we are looking for in our new special collection. For more information about submitting to the Artificial Intelligence in Ophthalmology Special Collection, please visit https://www.aaojournal.org/ai-in-ophthalmology.

Dr. Emily Schehlein interviews Dr. Julia H. Joo and Dr. Ang Li on their study which used the IRIS® Registry to investigate the predictive factors for goniotomy success. From their Ophthalmology Glaucoma article, "Factors Associated with Goniotomy Outcomes in the United States." Factors Associated with Goniotomy Outcomes in the United States. Joo J, et al. Ophthalmology Glaucoma. 2026. In press.

Dr. Rajesh Rao interviews Dr. Michael Marmor on his recent Ophthalmology Retina editorial, A New Visual Field for Hydroxychloroquine Screening, and discuss the performance of the Humphrey 24-2C visual field test for detecting parafoveal and pericentral hydroxychloroquine retinopathy. A New Visual Field for Hydroxychloroquine Screening. Marmor M. Ophthalmology Retina, Volume 10, Issue 3, 221-222.

Dr. Drew Carey interviews Dr. Avner Hostovsky on his study evaluating the diagnostic yield of a structured systemic workup in patients presenting with acute visual symptoms who were diagnosed with isolated paracentral acute middle maculopathy (PAMM). From his Ophthalmology article, "High Yield of Systemic Workup in Patients with Acute Isolated Paracentral Acute Middle Maculopathy." Hostovsky A, Peled I, Katz G, et al. High Yield of Systemic Workup in Patients with Acute Isolated Paracentral Acute Middle Maculopathy. Ophthalmology, 2025; 133, 499-505.

Dr. Drew Carey is joined by Drs. S. Saeed Mohammadi and Quan Dong Nguyen, authors of Ophthalmology Science's "Detecting Inflammation in Fundus Photographs Using Machine Learning." They discuss their study investigating the use of AI in the diagnosis of uveitis from ultra-widefield fundus photographs. Detecting Inflammation in Fundus Photographs Using Machine Learning. Mohammadi S, Yavari N, Saengsirinavin A, et al. Ophthalmology Science, Volume 6, Issue 2.

Dr. Thomas Johnson returns to the podcast. Dr. Emily Schehlein interviews him on his study to assess the clinical outcomes of Hydrus Microstent implantation with cataract extraction for the treatment of open-angle glaucoma. From the Ophthalmology Glaucoma article, Clinical Outcomes of Hydrus Microstent Implantation for Open-Angle Glaucoma: Results from a Large Academic Center. Clinical Outcomes of Hydrus Microstent Implantation for Open-Angle Glaucoma. Hamilton, Natalie R. et al. Ophthalmology Glaucoma, Volume 9, Issue 1, 48 - 61

How accurate is ChatGPT responding to patient questions at a 6th grade reading level vs. a 12th grade reading level? Find out in this episode as Drs. Rukhsana Mirza and Angelo Tanna discuss their Ophthalmology Science article, "Accuracy and Readability of Chat Generative Pre-Trained Transformer-4 Omni in Answering Ophthalmology Patient Questions." Accuracy and Readability of Chat Generative Pre-Trained Transformer-4 Omni in Answering Ophthalmology Patient Questions. Hamzeh, Nikoo et al. Ophthalmology Science, Volume 6, Issue 2. Looking for ways to give back? By becoming an EyeCare America volunteer, you could help provide eye care to those in your community most in need, from the comfort of your own office. EyeCare America, established by the American Academy of Ophthalmology in 1985 as the first public service program for eye care, connects uninsured and underinsured patients 18 and over in need of medical eye exams with local ophthalmologists. Visit eyecareamerica.org for more info.

Dr. Rukhsana Mirza sits down with Dr. Avni P. Finn to discuss her Ophthalmology Science article, "Ultra-Widefield Fundus Autofluorescence Findings as an Indicator of Duration in Rhegmatogenous Retinal Detachment," which used ultra-widefield color fundus photography and fundus autofluorescence to assess patients with rhegmatogenous retinal detachment, relating clinical features to imaging findings and comparing between the 2 imaging modalities. Ultra-Widefield Fundus Autofluorescence Findings as an Indicator of Duration in Rhegmatogenous Retinal Detachment. Zhang, David L. et al. Ophthalmology Science, Volume 6, Issue 2. Working on new research? Researchers around the world are already submitting abstracts for AAO 2026. If you're preparing a paper, poster, or video, now is the time to share it. Abstract submissions close April 14. Submit your abstract today. Visit aao.org/pod26.

Dr. Rajesh Rao interviews Dr. Bradley T. Smith on his study to report the rate and rationale for vitrectomy after retinal detachment repair with pneumatic retinopexy, from his Ophthalmology Retina article, "Rate and Rationale for Vitrectomy after Pneumatic Retinopexy." Rate and Rationale for Vitrectomy after Pneumatic Retinopexy. Smith, Bradley T. et al. Ophthalmology Retina, Volume 9, Issue 11, 1053 – 1061. Looking for ways to give back? By becoming an EyeCare America volunteer, you could help provide eye care to those in your community most in need, from the comfort of your own office. EyeCare America, established by the American Academy of Ophthalmology in 1985 as the first public service program for eye care, connects uninsured and underinsured patients 18 and over in need of medical eye exams with local ophthalmologists. Visit eyecareamerica.org for more info.

With the current AI boom, physicians are looking for ways to use this new technology in their practices. Dr. Edmund Tsui interviews Dr. Sophia Y. Wang on her Ophthalmology Science article, "Leveraging Large Language Models with Sequential Prompting to Extract Eye Examination Findings from Free-Text Ophthalmology Notes," which showed that LLMs are capable of efficient, automated, and accurate extraction of relevant information from ophthalmology free-text progress notes. Leveraging Large Language Models with Sequential Prompting to Extract Eye Examination Findings from Free-Text Ophthalmology Notes. Ruan, Franklin Y. et al. Ophthalmology Science, Volume 6, Issue 1. If you're working on research right now, consider sharing your latest research at AAO 2026. Abstract submissions for papers, posters, and videos are open now, through April 14. It's a great opportunity to present your work — and connect with colleagues from around the world. Start your submission today at aao.org/pod26.