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预测创伤性脑损伤中的紧急死亡风险:机器学习和大型语言模型GPT-5的比较分析

Kuan-Chi Tu1, Yung-De Kuo2, Tee-Tau Eric Nyam1

  • 1Department of Neurosurgery, Chi Mei Medical Center, Tainan 710402, Taiwan.

International journal of medical informatics
|January 7, 2026
PubMed
概括

大型语言模型 (LLM) 可以达到与传统机器学习 (ML) 相比的准确性,在值校准后预测创伤性脑损伤 (TBI) 的结果. 快速工程提高了LLM的临床适用性.

关键词:
一个连锁的思想链.临床决策支持 临床决策支持有几次射击学习学习.大型语言模型 (LLM)机器学习 (ML) 是指机器学习.预报 预测 预测 预测创伤性脑损伤 (TBI) 是一种创伤性脑损伤.

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Traumatic Brain Injury l: Introduction01:28

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DefinitionTraumatic brain injury, or TBI, is a disturbance of normal brain function induced by an external mechanical force, such as a direct blow to the head or a penetrating injury. It can affect both brain structure and function, producing a wide range of clinical outcomes. TBI is a heterogeneous condition, meaning its effects may differ based on the type, location, and severity of the injury.Basis of ClassificationTBI is classified based on severity, injury mechanism, or pathophysiology. In...