| Residential College | false |
| Status | 已發表Published |
| Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study | |
Mishra, Vishala1; Sarraju, Ashish2; Kalwani, Neil M.3,4; Dexter, Joseph P.5,6,7 
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| 2024-04-22 | |
| Source Publication | Journal of Medical Internet Research
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| ISSN | 1438-8871 |
| Volume | 26Issue:1Pages:e55388 |
| Abstract | In this cross-sectional study, we evaluated the completeness, readability, and syntactic complexity of cardiovascular disease prevention information produced by GPT-4 in response to 4 kinds of prompts. |
| Keyword | Artificial Intelligence Chatgpt Gpt Cardiology Digital Health Large Language Mode Nlp Language Model Language Models Prompt Engineering Health Communication Generative Health Literacy Natural Language Processing Patient-physician Communication Prevention Cardiology Cardiovascular Heart Education Educational Human-in-the-loop Machine Learning |
| DOI | 10.2196/55388 |
| URL | View the original |
| Indexed By | SCIE |
| Language | 英語English |
| WOS Research Area | Health Care Sciences & Services ; Medical Informatics |
| WOS Subject | Health Care Sciences & Services ; Medical Informatics |
| WOS ID | WOS:001217552200002 |
| Publisher | JMIR PUBLICATIONS, INC, 130 QUEENS QUAY East, Unit 1100, TORONTO, ON M5A 0P6, CANADA |
| Scopus ID | 2-s2.0-85191018197 |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Journal article |
| Collection | INSTITUTE OF COLLABORATIVE INNOVATION |
| Corresponding Author | Dexter, Joseph P. |
| Affiliation | 1.Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, United States 2.Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, United States 3.Veterans Affairs Palo Alto Health Care System, Palo Alto, United States 4.Division of Cardiovascular Medicine, Cardiovascular Institute, Department of Medicine, Stanford University School of Medicine, Stanford, United States 5.Data Science Initiative, Harvard University, Allston, United States 6.Department of Human Evolutionary Biology, Harvard University, Cambridge, United States 7.Institute of Collaborative Innovation, University of Macau, Taipa, Macao |
| Corresponding Author Affilication | INSTITUTE OF COLLABORATIVE INNOVATION |
| Recommended Citation GB/T 7714 | Mishra, Vishala,Sarraju, Ashish,Kalwani, Neil M.,et al. Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study[J]. Journal of Medical Internet Research, 2024, 26(1), e55388. |
| APA | Mishra, Vishala., Sarraju, Ashish., Kalwani, Neil M.., & Dexter, Joseph P. (2024). Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study. Journal of Medical Internet Research, 26(1), e55388. |
| MLA | Mishra, Vishala,et al."Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study".Journal of Medical Internet Research 26.1(2024):e55388. |
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