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Article Abstract
The growing use of generative artificial intelligence (AI) in the public sphere allows for a greater degree of disseminating information worldwide. For patients, there is a growing body of literature exploring how the generative artificial intelligence models can be used in improving the health literacy of patients, especially in cases of acute pulmonary embolism, where patients require deep, concise understanding of there disease and management. This study measured the readability of the generative responses created by publicly available AI models, and found that ChatGPT, Google Gemini, and Microsoft CoPilot do not currently meet the United States readability recommendations. Given the growing use of these models, future investigation on the longitudinal readability measures may help profile how these generative AI models adapt in their deep learning processes.
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