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<p>We introduce a framework to adapt large language models for medicine: (1) Modeling: breaking down medical workflows into manageable steps; (2) Optimization: optimizing model performance via advanced adaptations; and (3) System engineering: developing agent or chain systems. Furthermore, we describe varied use cases, such as clinical trial design, clinical decision support, and medical imaging analysis. Finally, we discuss challenges and considerations for building medical AI with LLMs.</p>

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A perspective for adapting generalist AI to specialized medical AI applications and their challenges

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月11日

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  • Zifeng Wang,
  • Hanyin Wang,
  • Benjamin Danek,
  • Ying Li,
  • Christina Mack,
  • Luk Arbuckle,
  • Devyani Biswal,
  • Hoifung Poon,
  • Yajuan Wang,
  • Pranav Rajpurkar,
  • Cao Xiao,
  • Jimeng Sun

摘要

We introduce a framework to adapt large language models for medicine: (1) Modeling: breaking down medical workflows into manageable steps; (2) Optimization: optimizing model performance via advanced adaptations; and (3) System engineering: developing agent or chain systems. Furthermore, we describe varied use cases, such as clinical trial design, clinical decision support, and medical imaging analysis. Finally, we discuss challenges and considerations for building medical AI with LLMs.