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

Research Instruments, Questionnaires, and Tools (791) New Methods (1185) Cardiology (240) Cardiac Disease Management (166) Chemotherapy and Side Effects Management (124) Generative Language Models Including ChatGPT (832) Foundation Models and Their Applications in AI (59)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66161, first published .
AI-Assisted Hypothesis Generation to Address Challenges in Cardiotoxicity Research: Simulation Study Using ChatGPT With GPT-4o

AI-Assisted Hypothesis Generation to Address Challenges in Cardiotoxicity Research: Simulation Study Using ChatGPT With GPT-4o

AI-Assisted Hypothesis Generation to Address Challenges in Cardiotoxicity Research: Simulation Study Using ChatGPT With GPT-4o

Authors of this article:

Yilan Li1 Author Orcid Image ;   Tianshu Gu2 Author Orcid Image ;   Chengyuan Yang3 Author Orcid Image ;   Minghui Li2 Author Orcid Image ;   Congyi Wang4 Author Orcid Image ;   Lan Yao3, 5 Author Orcid Image ;   Weikuan Gu3, 6, 7 Author Orcid Image ;   DianJun Sun8 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Akpan I, Etti G. Computer Simulation Everywhere: Mapping Fifteen Years Evolutionary Expansion of Discrete-Event Simulation and Integration with Digital Twin and Generative Artificial Intelligence. Symmetry 2025;17(8):1272 View
  2. Stone W, Garver M, Johnson S, Caputo J, Ibrahim A, Davis D, Navalta J. From policy to practice: editorial leadership in the age of AI-assisted science. Sport, Education and Society 2026:1 View