Pulmonary Embolism Education: Role of Generative Artificial Intelligence Models.

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.

Leveraging Generative Artificial Intelligence Models in Patient Education on Inferior Vena Cava Filters.

: Inferior Vena Cava (IVC) filters have become an advantageous treatment modality for patients with venous thromboembolism. As the use of these filters continues to grow, it is imperative for providers to appropriately educate patients in a comprehensive yet understandable manner. Likewise, generative artificial intelligence models are a growing tool in patient education, but there is little understanding of the readability of these tools on IVC filters.

Health Literacy Analytics of Accessible Patient Resources in Cardiovascular Medicine: What are Patients Wanting to Know?

Introduction: There remains an increasing utilization of internet-based resources as a first line of medical knowledge. Among patients with cardiovascular disease, these resources often are relied upon for numerous diagnostic and therapeutic modalities. However, the reliability of this information is not fully understood.