Artificial intelligence-aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs.

Kai-Chih PaiWen-Cheng ChaoYu-Len HuangRuey-Kai SheuLun-Chi ChenMin-Shian WangShau-Hung LinYu-Yi YuChieh-Liang WuMing-Cheng Chan

Published in: Digital health (2022)

This study developed combined machine learning models with clinical data and CXR images to detect ARDS. According to the results of the Shapley Additive exPlanations values and the Grad-CAM techniques, an explicable ARDS diagnosis model is suitable for a real-life scenario.

Keyphrases

acute respiratory distress syndrome
artificial intelligence
machine learning
big data
extracorporeal membrane oxygenation
mechanical ventilation
deep learning
electronic health record
convolutional neural network
data analysis