Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography – a multicenter retrospective cohort study in Japan

Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography – a multicenter retrospective cohort study in Japan

Abstract Background Computed tomography (CT) imaging and artificial intelligence (AI)-based analyses have aided in the diagnosis and prediction of the severity of COVID-19. However, the potential of AI-based CT quantification of pneumonia in assessing patients with COVID-19 has not yet been fully ex...

Full description

Bibliographic Details
Main Authors: Hiromu Tanaka, Tomoki Maetani, Shotaro Chubachi, Naoya Tanabe, Yusuke Shiraishi, Takanori Asakura, Ho Namkoong, Takashi Shimada, Shuhei Azekawa, Shiro Otake, Kensuke Nakagawara, Takahiro Fukushima, Mayuko Watase, Hideki Terai, Mamoru Sasaki, Soichiro Ueda, Yukari Kato, Norihiro Harada, Shoji Suzuki, Shuichi Yoshida, Hiroki Tateno, Yoshitake Yamada, Masahiro Jinzaki, Toyohiro Hirai, Yukinori Okada, Ryuji Koike, Makoto Ishii, Naoki Hasegawa, Akinori Kimura, Seiya Imoto, Satoru Miyano, Seishi Ogawa, Takanori Kanai, Koichi Fukunaga
Format: Article
Language:English
Published: BMC 2023-10-01
Series:Respiratory Research
Subjects:
Artificial intelligence (AI)-based analysis
Computer Vision System
Pneumonia
Post-acute COVID-19 syndrome
SARS-CoV-2 infection
Online Access:https://doi.org/10.1186/s12931-023-02530-2

Internet

https://doi.org/10.1186/s12931-023-02530-2

Similar Items