人工智能驱动的儿童创伤性脑损伤的适应 家庭沟通的病例描述

Alejandro García-Rudolph1,2,3, Marc Navarro Berenguel1,2,3, Eloy Opisso1,2,3

  • 1Departmento de Investigación e Innovación, Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Barcelona, Spain.

概括

像GPT-4o这样的大型语言模型 (LLM) 可以适应不同受众的复杂儿科创伤性脑损伤 (TBI) 病例描述. 然而,仔细的临床审查是必不可少的,以确保准确性和适合所有年龄组的适当简化.

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