Pneumonia-Plus: a deep learning model for the classification of bacterial, fungal, and viral pneumonia based on CT tomography.
Fang WangXiaoming LiRu WenHu LuoDong LiuShuai QiYang JingPeng WangGang DengCong HuangTingting DuLimei WangHongqin LiangJian WangChen LiuPublished in: European radiology (2023)
• The Pneumonia-Plus algorithm trained from data collected from multiple centers can accurately identify bacterial, fungal, and viral pneumonia. • The Pneumonia-Plus algorithm was found to have better sensitivity in classifying viral and bacterial pneumonia in comparison to radiologist 1 (5-year experience) and radiologist 2 (7-year experience). • The Pneumonia-Plus algorithm is used to differentiate between bacterial, fungal, and viral pneumonia, which has reached the level of an attending radiologist.
Keyphrases
- deep learning
- machine learning
- sars cov
- community acquired pneumonia
- respiratory failure
- computed tomography
- artificial intelligence
- magnetic resonance imaging
- big data
- extracorporeal membrane oxygenation
- body composition
- electronic health record
- acute respiratory distress syndrome
- positron emission tomography
- data analysis