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<p>Artificial intelligence is transforming the landscape of clinical research and scientific writing, offering innovative solutions to address inefficiencies in trial design, patient recruitment, and manuscript development. This review explores applications of artificial intelligence in patient matching, endpoint design and predictive trial outcomes, and real-time patient monitoring. It also discusses its role in assisting with literature review, generating content, and refining language in scientific writing, especially for nonnative English speakers. Challenges such as data standardization, explainability, and ethical concerns are highlighted alongside emerging regulatory frameworks to ensure transparent and responsible artificial intelligence integration. By examining its current capabilities and future potential, this article underscores the transformative role of artificial intelligence in enhancing efficiency, reducing costs, and advancing innovation in medical research.</p>

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The Role of AI in Clinical Trial Design and Scientific Writing

  • 期刊论文

  • 发表日期：

    2025年10月6日

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  • Niki Katsara Antonakea,
  • Julius Chapiro,
  • Jeff Geschwind

摘要

Artificial intelligence is transforming the landscape of clinical research and scientific writing, offering innovative solutions to address inefficiencies in trial design, patient recruitment, and manuscript development. This review explores applications of artificial intelligence in patient matching, endpoint design and predictive trial outcomes, and real-time patient monitoring. It also discusses its role in assisting with literature review, generating content, and refining language in scientific writing, especially for nonnative English speakers. Challenges such as data standardization, explainability, and ethical concerns are highlighted alongside emerging regulatory frameworks to ensure transparent and responsible artificial intelligence integration. By examining its current capabilities and future potential, this article underscores the transformative role of artificial intelligence in enhancing efficiency, reducing costs, and advancing innovation in medical research.