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<p>Chronic liver diseases present complex diagnostic challenges requiring multimodal data integration. Current workflows rely on sequential specialist consultations, creating critical delays. Artificial intelligence agents autonomous systems capable of reasoning and collaborative decision-making represent a transformative approach through distributed problem-solving networks. Multi-agent architectures provide therapeutic decision support across metabolic, cholestatic, and malignant transformations. We present a conceptual framework for clinical implementation.</p>

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Artificial Intelligence-based agents in chronic liver disease: transforming diagnostic and therapeutic workflows through clinical decision-making

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月12日

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  • Yashbir Singh,
  • Quincy A. Hathaway,
  • Diana V. Vera-Garcia,
  • Davide Povero,
  • Sara Salehi,
  • Yujia Wei,
  • Natally Horvat,
  • Ashok Chaudhary,
  • Almurtadha Mula Kh,
  • Varekan Keishing,
  • Khalid Niazi,
  • Emilio Quaia,
  • Bradley J. Erickson,
  • Gregory J. Gores,
  • Jesper B. Andersen

摘要

Chronic liver diseases present complex diagnostic challenges requiring multimodal data integration. Current workflows rely on sequential specialist consultations, creating critical delays. Artificial intelligence agents autonomous systems capable of reasoning and collaborative decision-making represent a transformative approach through distributed problem-solving networks. Multi-agent architectures provide therapeutic decision support across metabolic, cholestatic, and malignant transformations. We present a conceptual framework for clinical implementation.