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

Research Instruments, Questionnaires, and Tools (703) New Methods (1082) Generative Language Models Including ChatGPT (604) Foundation Models and Their Applications in AI (44) Cardiology (213) Chemotherapy and Side Effects Management (96) Cardiac Disease Management (139)

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
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AI-Assisted Hypothesis Generation to Address Challenges in Cardiotoxicity Research: Simulation Study Using ChatGPT With GPT-4o https://t.co/KzQx2jAxDX #心毒性研究 #GPT4o #AI仮説生成 #創薬支援AI #研究革新 #ChatGPT医療応用 #3D心臓モデル #バイオマーカー探索 #JMIR #AIと基礎医学

9:53 AM · May 17, 2025

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