【甲狀腺癌】結合隨機生存森林與LLM預測「分化型甲狀腺癌」異性存活期、復發和遠端轉移

 【甲狀腺癌】結合隨機生存森林與LLM預測「分化型甲狀腺癌(DTC)」異性存活期(DSS)、局部復發、區域復發和遠端轉移

 文章出處  

Communications Medicine 

 

 原文標題  

Integrating machine learning survival and large language models for prognostics of thyroid cancer 

 

 文章序號  

12990 

 

智醫科學－AI醫療技術、應用與市場動態

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