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<p>Disciplines conducting health research rely on discipline-specific workflows that are distinct from data science, the discipline which develops most artificial intelligence (AI)-enabled research tools. Here we reflect on the impact of such differences in workflows and provide practical advice for leveraging AI-enabled research tools in health research. Further, we provide recommendations for how to prepare the next generation of health researchers for the inevitable influx of research integrating AI-enabled tools.</p>

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Integrating artificial intelligence tools in health research

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月16日

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  • Gemma Postill,
  • Jana Sedlakova,
  • Stefano Tancredi,
  • Frerik Smit,
  • Sintieh Ekongefeyin,
  • Andreas M. Baumer,
  • Arnaud Chiolero,
  • Jürgen Bernard,
  • Laura C. Rosella,
  • Viktor von Wyl

摘要

Disciplines conducting health research rely on discipline-specific workflows that are distinct from data science, the discipline which develops most artificial intelligence (AI)-enabled research tools. Here we reflect on the impact of such differences in workflows and provide practical advice for leveraging AI-enabled research tools in health research. Further, we provide recommendations for how to prepare the next generation of health researchers for the inevitable influx of research integrating AI-enabled tools.