This study by Gurnani et al., investigates ChatGPT-4 as an AI tool for providing educational content and decision-making support on corneal ulcers. The model was engaged with 12 structured questions across multiple categories, with outputs independently rated by a panel of five ophthalmology experts using a Likert scale from 1-5 (1 was very poor, 2 was poor, 3 was acceptable, 4 was good, 5 was very good). ChatGPT-4 performed well in areas such as risk factors, etiology, symptoms, treatment, complications, and prognosis, which all received median scores of 4.0. However, responses were less reliable for classification and investigations (median 3.0) and weaker for signs of corneal ulcers (median 2.0). Overall, 45% of the responses were rated “good” and another 41.7% “acceptable,” with only 3.3% of responses with “very good” ratings. The study emphasized that deficiencies in diagnostic precision indicate the necessity of refinement, and continuous feedback and adjustments would make ChatGPT-4 a reliable tool.