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

Evaluation and Research Methodology for mHealth (242) Generative Language Models Including ChatGPT (708) mHealth for Data Collection and Research (1196) mHealth for Treatment Adherence (467) Medication Adherence (140) Digital Health Reviews (1724) Chatbots and Conversational Agents (740) Stroke (243) Cardiology (224)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51526, first published .
Assessing the Efficacy of ChatGPT Versus Human Researchers in Identifying Relevant Studies on mHealth Interventions for Improving Medication Adherence in Patients With Ischemic Stroke When Conducting Systematic Reviews: Comparative Analysis

Assessing the Efficacy of ChatGPT Versus Human Researchers in Identifying Relevant Studies on mHealth Interventions for Improving Medication Adherence in Patients With Ischemic Stroke When Conducting Systematic Reviews: Comparative Analysis

Assessing the Efficacy of ChatGPT Versus Human Researchers in Identifying Relevant Studies on mHealth Interventions for Improving Medication Adherence in Patients With Ischemic Stroke When Conducting Systematic Reviews: Comparative Analysis

Authors of this article:

Suebsarn Ruksakulpiwat1 Author Orcid Image ;   Lalipat Phianhasin1 Author Orcid Image ;   Chitchanok Benjasirisan1 Author Orcid Image ;   Kedong Ding2 Author Orcid Image ;   Anuoluwapo Ajibade3 Author Orcid Image ;   Ayanesh Kumar4 Author Orcid Image ;   Cassie Stewart5 Author Orcid Image
Article Authors Cited by (12) Tweetations (10) Metrics

Journals

  1. Li X, Guo H, Li D, Zheng Y. Engine of Innovation in Hospital Pharmacy: Applications and Reflections of ChatGPT. Journal of Medical Internet Research 2024;26:e51635 View
  2. 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
  3. Ruta M, Gaidici T, Irwin C, Lifshitz J. ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research. Journal of Medical Internet Research 2025;27:e63550 View
  4. Chokkakula S, Chong S, Yang B, Jiang H, Yu J, Han R, Attitalla I, Yin C, Zhang S. Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes. Frontiers in Medicine 2025;12 View
  5. Layton A. A Heart-to-Heart With ChatGPT: AI Applications in Hypertension. American Journal of Hypertension 2025;38(9):621 View
  6. Scherbakov D, Hubig N, Jansari V, Bakumenko A, Lenert L. The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review. Journal of the American Medical Informatics Association 2025;32(6):1071 View
  7. Homer S. Comparative analysis of concept mapping: human participants vs. ChatGPT. Quality & Quantity 2025;59(5):4873 View
  8. Peng W, Cheng X, Deng J, Zhang X. ChatGPT Applications in Nursing: Current Status and Future Perspectives. Nursing Open 2025;12(6) View
  9. Guo S, Li G, Gou J, Gong Y, Zhao W, Li Z, Yang X, Liu Z, Li Z, Lei J. The Performance of ChatGPT-4.0 and ChatGPT-4omni on Answering Thyroid Question: A Multicenter Study. Journal of Surgical Research 2025;313:500 View
  10. Ruksakulpiwat S, Phianhasin L, Benjasirisan C, Su T, Riangkam C, Thorngthip S, Aldossary H, Ahmed B, Pongsuwun K, Angkaew N. Artificial Intelligence in Nursing Research: A Systematic Review of Applications, Benefits, and Challenges. International Nursing Review 2025;72(3) View
  11. Khosravi M, Izadi R, Aghamaleki Sarvestani M, Bouzarjomehri H, Ahmadi Marzaleh M, Ravangard R. Performance of artificial intelligence large language models (Copilot and Gemini) compared to human experts in healthcare policy making: A mixed-methods cross-sectional study. Health Informatics Journal 2025;31(3) View
  12. Cheng P, Hu F, Chen L, Liu J, Wu J, Chen W. Generative artificial intelligence in ophthalmology research writing: A comprehensive review of applications, detection tools, and ethical considerations. Taiwan Journal of Ophthalmology 2025 View