Purpose: We aimed to compare the answers given by ChatGPT, Bard, and Copilot and that obtained from the American Academy of Ophthalmology (AAO) website to patient-written questions related to keratoconus in terms of accuracy, understandability, actionability, and readability to find out whether chatbots can be used in patient education.
Methods: Twenty patient-written questions obtained from the AAO website related to keratoconus were asked to ChatGPT, Bard, and Copilot. Two ophthalmologists independently assessed the answers obtained from chatbots and the AAO website in terms of accuracy, understandability, and actionability according to the Structure of Observed Learning Outcome taxonomy, Patient Education Materials Assessment Tool-Understandability, and Patient Education Materials Assessment Tool-Actionability tests, respectively.
Montelukast, a leukotriene receptor antagonist (LTRA) approved for the treatment of asthma and allergic rhinitis, is widely used, though real-world data on its application in asthma management remain limited. This registry-based study evaluated the use of montelukast in adult asthma patients, examining demographic and disease characteristics, asthma control status, asthma phenotypes, presence of atopy, and treatment regimens. Among 2053 patients analyzed, 61.
View Article and Find Full Text PDF: Studies have shown that inflammation markers can be used as prognostic tools in predicting acute ischemic stroke. In this study, we conducted a comparison of several inflammation scores in predicting left atrial thrombosis (LAT) in patients with ischemic stroke without AF. : In this single-center, retrospective study, we included 303 consecutive patients with ischemic stroke.
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