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

OBJECTIVE: The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. METHOD: The transfer learning method was used to train a convolutional neural network (CNN) mode...

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Detalles Bibliográficos
Autores principales: Pai, Kai-Chih, Chao, Wen-Cheng, Huang, Yu-Len, Sheu, Ruey-Kai, Chen, Lun-Chi, Wang, Min-Shian, Lin, Shau-Hung, Yu, Yu-Yi, Wu, Chieh-Liang, Chan, Ming-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386858/
https://www.ncbi.nlm.nih.gov/pubmed/35990108
http://dx.doi.org/10.1177/20552076221120317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386858/
https://www.ncbi.nlm.nih.gov/pubmed/35990108
http://dx.doi.org/10.1177/20552076221120317

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