Harnessing Ocular Physiology: Fast and Sustained Tear Production With TRYPTYR® (acoltremon ophthalmic solution) 0.003% for Dry Eye Disease

Data from the pivotal COMET clinical trials reveal how the first topical ocular neuromodulator approved for the signs and symptoms of DED, TRYPTYR®, delivers a rapid increase in natural tear production.

John Hovanesian, MD (Moderator)*; Marjan Farid, MD*; Nate Lighthizer, OD*; Selina McGee, OD*

Cataract and Refractive Surgery Today

Finding the Right Fit in Ophthalmology Residency

Bradford L. Tannen, MD, JD, MBA; Daniel B. Moore, MD; Jackson Laureano, MD; Gary Wörtz, MD; and Blake K. Williamson, MD, MPH

Eyetube

Blake K. Williamson, MD, MPH, and Gary Wörtz, MD, speak with Bradford Tannen, MD, JD, MBA; Daniel B. Moore, MD; and Jackson Laureano, MD, about ophthalmology residency training at the University of Kentucky. The group weighs what matters beyond a strong application, including authentic research interests, away rotations, and the interpersonal qualities that make someone a good resident. They also discuss early surgical experience, how operative volume builds confidence, and why finding the right fit may matter more than reputation alone.

A Potential Digital Co-Pilot in the Retina OR

AI systems may one day augment traditional surgical workflows to improve efficiency and patient outcomes.

Stanley Poh, MBBS, MMed (Ophth), FRCOphth, FAMS, and Daniel Ting, MD, PhD

Retina Today

KEY TAKEAWAYS By analyzing large volumes of data, AI could generate clinically meaningful insights to enable more informed decision making in the OR. AI could identify high-risk cases and flag factors such as suboptimal glycemic control, anticoagulant use, medical comorbidities, drug allergies, and mobility limitations. Agentic AI can act as a digital co-pilot by integrating preoperative, intraoperative, and postoperative capabilities. Vitreoretinal surgery is a complex discipline involving intricate and highly variable pathology. Many decisions depend on dynamic changes in anatomy and tissue behavior, surgical visualization, and potential complications. As such, vitreoretinal fellows face a steep learning curve. Years of training through residency, fellowship, and independent surgical practice are required to develop the judgement needed to determine whether surgery is warranted, which intervention is most appropriate, and how urgently it should be performed. As AI tools proliferate and improve, they could advance the evolution of the retina OR. By analyzing large volumes of clinical, imaging, and procedural data, AI could generate timely, clinically meaningful insights to enable more informed decision making across preoperative, intraoperative, and postoperative phases of care (Figure). In many ORs, digital visualization systems and intraoperative OCT have already broadened what surgeons can see and have influenced surgical decision making.