This paper is in the following e-collection/theme issue:

Research Letter (57) mHealth for Data Collection and Research (1196) Chatbots and Conversational Agents (740) Artificial Intelligence (2129) Natural Language Processing (917) Machine Learning (2076) Cardiology (224) Cardiovascular Disease Prevention (206) Generative Language Models Including ChatGPT (708)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55388, first published .
Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study

Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study

Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study

Authors of this article:

Vishala Mishra1 Author Orcid Image ;   Ashish Sarraju2 Author Orcid Image ;   Neil M Kalwani3, 4 Author Orcid Image ;   Joseph P Dexter5, 6, 7 Author Orcid Image
Article Authors Cited by (12) Tweetations (6) Metrics

Journals

  1. Mishra V, Blasi D, Dexter J. Bridging Ethics and Evidence: Language as a Critical Determinant of Health Equity. The American Journal of Bioethics 2024;24(11):66 View
  2. Aydin S, Karabacak M, Vlachos V, Margetis K. Large language models in patient education: a scoping review of applications in medicine. Frontiers in Medicine 2024;11 View
  3. Leon M, Ruaengsri C, Pelletier G, Bethencourt D, Shibata M, Flores M, Shudo Y. Harnessing the Power of ChatGPT in Cardiovascular Medicine: Innovations, Challenges, and Future Directions. Journal of Clinical Medicine 2024;13(21):6543 View
  4. Abdelgadir Y, Thongprayoon C, Craici I, Cheungpasitporn W, Miao J. Enhancing Patient Comprehension of Glomerular Disease Treatments Using ChatGPT. Healthcare 2024;13(1):57 View
  5. Xiang K, Shi D. Personalized insights into liver disease management: a text mining analysis of online consultation data. Frontiers in Public Health 2025;13 View
  6. He F, Yang M, Liu J, Gong T, Ma J, Yang T, Zhao D, Li S, Tian D. Quality and reliability of pediatric pneumonia related short videos on mainstream platforms: cross-sectional study. BMC Public Health 2025;25(1) View
  7. Singavarapu J, Khemlani A, Jacobs M, Berglas E, Lazar J, Kabarriti A. Evaluating the Quality of Cardiovascular Disease Information From AI Chatbots: A Comparative Study. Cureus 2025 View
  8. Jia Y, Pang L, Bi M, Yang X, Song J. Dependability of Large Language Models in Cardiovascular Medicine: A Scoping Review. Journal of Cardiothoracic and Vascular Anesthesia 2025;39(12):3534 View
  9. Qian Y. Prompt Engineering in Education: A Systematic Review of Approaches and Educational Applications. Journal of Educational Computing Research 2025;63(7-8):1782 View
  10. Baştürk B, Onan A. Machine Learning Based Identification of LLM Generated Scientific Research Article Abstracts. Scientific Journal of Mehmet Akif Ersoy University 2025;8(2):57 View
  11. Yang H, Huang B, Li X. Augmentation or substitution: defining role of large language model in physical education. Frontiers in Sports and Active Living 2025;7 View

Books/Policy Documents

  1. Mukisa R, Matovu R. Intelligent Computing. View