Novel Artificial Intelligence-based Technology for Chest Computed Tomography Analysis of Idiopathic Pulmonary Fibrosis.

Tomohiro HandaKiminobu TanizawaTsuyoshi OgumaRyuji UozumiKizuku WatanabeNaoya Tanabe Takafumi NiwamotoHiroshi ShimaRyobu MoriTomomi W NobashiRyo SakamotoTakeshi KuboAtsuko KurosakiKazuma KishiYuji NakamotoToyohiro Hirai

Published in: Annals of the American Thoracic Society (2021)

Our newly developed artificial intelligence-based image analysis software successfully quantified parenchymal lesions and airway volumes. Bronchial and normal lung volumes on chest HRCT may provide additional prognostic information on the GAP stage of IPF.

Keyphrases

artificial intelligence
idiopathic pulmonary fibrosis
computed tomography
machine learning
big data
deep learning
interstitial lung disease
positron emission tomography
magnetic resonance imaging
health information
rheumatoid arthritis
image quality
dual energy