Ophthalmology Journal

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.