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This article discusses the evaluation of text-based generative artificial intelligence (AI) models for providing patient information about cataract surgery. The study compared the responses of three AI models (ChatGPT3, Microsoft Bing, and Google Bard) to a set of 25 questions about cataract surgery. The study found that all three AI models provided mostly appropriate answers with accurate information, and no model provided dangerously incorrect information. However, the reproducibility of answers was poor, with less than half of the answers being consistent when the same question was posed multiple times. The article suggests that while AI chatbots show promise as a helpful tool for patient information, physician oversight is still important to ensure accuracy and patient safety. [Extracted from the article]

Aim: We sought to quantify the location and volume of thrombus in used hollow-fiber membrane oxygenators and correlate the volume of thrombus with patient demographics, flow characteristics and anticoagulation parameters. Methods: Hollow-fiber membrane oxygenators (Quadrox D, Maquet, Rastatt, Germany) were collected after clinical use in ECMO circuits and divided into sections. Each section was digitally imaged and analyzed using ImageJ software. The location and total volume (cm³) of thrombus was calculated for different sections. In an effort to predict thrombus formation, we correlated thrombus volume with possible aggravating and mitigating variables. Results: We collected 41 oxygenators from 27 patients. Twenty-seven (66%) were configured in the veno-venous mode and 14 (34%) in the veno-arterial mode. The median duration of use was 131 hours (interquartile range 61-214 hours). Eighteen (44%) were removed when the patient recovered, six (15%) were removed after withdrawal of care and seventeen (41%) were exchanged. The median volume of thrombus was 11.4 cm3 (interquartile range 2.2-44.5 cm³). Conclusions: A multivariable linear regression model suggested that the combination of median flow, configuration of ECMO and visible thrombus partially predicted internal thrombus volume (adjusted R²=0.39). [ABSTRACT FROM AUTHOR]