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.