【敗血症】基於影像組學特徵和臨床數據，利用ML預測PCNL術後泌尿道敗血症風險

 【敗血症】基於影像組學特徵和臨床數據，利用機器學習預測PCNL術後泌尿道敗血症風險

 文章出處  

BioMedical Engineering OnLine 

 

 原文標題  

An interpretable machine learning model integrating computed tomography radiomics and clinical features for predicting the urosepsis after percutaneous nephrolithotomy 

 

 文章序號  

9765 

 

智醫科學－AI醫療技術、應用與市場動態

Copyright ©2025 智醫科學 MEDai.tw All rights reserved.

The content of this site is intended for healthcare and medical professionals.