Chest radiograph-based artificial intelligence predictive model for mortality in community-acquired pneumonia
Background Chest radiograph (CXR) is a basic diagnostic test in community-acquired pneumonia (CAP) with prognostic value. We developed a CXR-based artificial intelligence (AI) model (CAP AI predictive Engine: CAPE) and prospectively evaluated its discrimination for 30-day mortality.Methods Deep-lear...
Saved in:
| Main Authors: | Rayan Alsuwaigh, Christine Ang, Jessica Quah, Charlene Jin Yee Liew, Lin Zou, Xuan Han Koh, Venkataraman Narayan, Tian Yi Lu, Clarence Ngoh, Zhiyu Wang, Juan Zhen Koh, Zhiyan Fu, Han Leong Goh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2021-01-01
|
| Series: | BMJ Open Respiratory Research |
| Online Access: | https://bmjopenrespres.bmj.com/content/8/1/e001045.full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Digital Edge Detection Based Pneumonia Detection in Chest Radiographs
by: Poola Rahul Gowtham, et al.
Published: (2024-01-01) -
ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs
by: Saravana Kumar Ganesan, et al.
Published: (2025-01-01) -
Clinical Outcome Discrimination in Pediatric ARDS by Chest Radiograph Severity Scoring
by: Yu-Chun Yan, et al.
Published: (2022-01-01) -
Corticosteroids in critically ill patients with community-acquired pneumonia: A systematic review and Bayesian meta-analysis
by: Wei Yu Chua, et al.
Published: (2024-11-01) -
Pneumonia acquired in the Community
by: María Caridad Fragoso Marchante, et al.
Published: (2007-06-01)