Muni Rajeev H

Accuracy of an Artificial Intelligence Chatbot's Interpretation of Clinical Ophthalmic Images.

In this study, the recent version of the chatbot accurately responded to approximately two-thirds of multiple-choice questions pertaining to ophthalmic cases based on imaging interpretation.

Performance of DeepSeek-R1 in ophthalmology: an evaluation of clinical decision-making and cost-effectiveness.

DeepSeek-R1 shows strong diagnostic and management performance comparable to OpenAI o1 across ophthalmic subspecialties, while significantly reducing costs. These results support its use as a cost-effective, open-weight alternative to proprietary models.

Artificial intelligence chatbot and Academy Preferred Practice Pattern ® Guidelines on cataract and glaucoma.

Association Between Sociodemographic Factors and Self-reported Glaucoma in the National Health Interview Survey: A Population-Based Analysis.

Non-Hispanic Black race and poor health status were associated with self-reported glaucoma diagnosis. Physicians and policymakers may consider SDH when assessing clinical risk and designing public health interventions.

Reply: Artificial intelligence chatbot and Academy Preferred Practice Pattern® Guidelines on cataract and glaucoma.