Appropriateness of cardiovascular disease prevention recommendations obtained from a popular online chat-based artificial intelligence model
A Sarraju, D Bruemmer, E Van Iterson, L Cho… - Jama, 2023 - jamanetwork.com
Methods| This study was performed in December 2022. We created 25 questions
addressing fundamental preventive concepts, including risk factor counseling, test results …
addressing fundamental preventive concepts, including risk factor counseling, test results …
Utilizing large language models to simplify radiology reports: a comparative analysis of ChatGPT3. 5, ChatGPT4. 0, Google Bard, and Microsoft Bing
This paper investigates the application of Large Language Models (LLMs), specifically
OpenAI's ChatGPT3. 5, ChatGPT4. 0, Google Bard, and Microsoft Bing, in simplifying …
OpenAI's ChatGPT3. 5, ChatGPT4. 0, Google Bard, and Microsoft Bing, in simplifying …
Quantitative evaluation of large language models to streamline radiology report impressions: A multimodal retrospective analysis
Background The complex medical terminology of radiology reports may cause confusion or
anxiety for patients, especially given increased access to electronic health records. Large …
anxiety for patients, especially given increased access to electronic health records. Large …
[HTML][HTML] Online patient education materials related to lipoprotein (a): readability assessment
Background Lipoprotein (a)(Lp (a)) is a highly proatherogenic lipid fraction that is a clinically
significant risk modifier. Patients wanting to learn more about Lp (a) are likely to use online …
significant risk modifier. Patients wanting to learn more about Lp (a) are likely to use online …
[HTML][HTML] Online information for spontaneous coronary artery dissection (SCAD) survivors and their families: A systematic appraisal of content and quality of websites
Background Spontaneous coronary artery dissection (SCAD) survivors often seek
information online. However, the quality and content of websites for SCAD survivors is …
information online. However, the quality and content of websites for SCAD survivors is …
[HTML][HTML] Can artificial intelligence improve the readability of patient education materials on aortic stenosis? A pilot study
AD Rouhi, YK Ghanem, L Yolchieva, Z Saleh… - Cardiology and …, 2024 - Springer
Introduction The advent of generative artificial intelligence (AI) dialogue platforms and large
language models (LLMs) may help facilitate ongoing efforts to improve health literacy …
language models (LLMs) may help facilitate ongoing efforts to improve health literacy …
ChatGPT and clinical training: perception, concerns, and practice of pharm-D students
M Zawiah, FY Al-Ashwal, L Gharaibeh… - Journal of …, 2023 - Taylor & Francis
Background The emergence of Chat-Generative Pre-trained Transformer (ChatGPT) by
OpenAI has revolutionized AI technology, demonstrating significant potential in healthcare …
OpenAI has revolutionized AI technology, demonstrating significant potential in healthcare …
[HTML][HTML] Contemporary attitudes and beliefs on coronary artery calcium from social media using artificial intelligence
Coronary artery calcium (CAC) is a powerful tool to refine atherosclerotic cardiovascular
disease (ASCVD) risk assessment. Despite its growing interest, contemporary public …
disease (ASCVD) risk assessment. Despite its growing interest, contemporary public …
ChatGPT-3.5, ChatGPT-4, Google Bard, and Microsoft Bing to Improve Health Literacy and Communication in Pediatric Populations and Beyond
Purpose: Enhanced health literacy has been linked to better health outcomes; however, few
interventions have been studied. We investigate whether large language models (LLMs) can …
interventions have been studied. We investigate whether large language models (LLMs) can …
Usability of Patient Education–Oriented Cataract Surgery Websites
Purpose To assess the web accessibility and readability of patient-oriented educational
websites for cataract surgery. Design Cross-sectional electronic survey. Participants …
websites for cataract surgery. Design Cross-sectional electronic survey. Participants …