Validation of a deep learning model for classification of pediatric pneumonia in Hong Kong

Dong Wang; Boshu Ru; Elaine Yuen Phin Lee; Andy Cheuk Nam Hwang; Kate Ching-Ching Chan; Jessica Weaver; Meghan White; Yiyun Chen; Kim S J Lao; Tsz K Khan; Craig S Roberts

doi:10.1016/j.vaccine.2024.126370

Validation of a deep learning model for classification of pediatric pneumonia in Hong Kong

Vaccine. 2024 Sep 21;42(26):126370. doi: 10.1016/j.vaccine.2024.126370. Online ahead of print.

Authors

Affiliations

¹ Merck & Co., Inc., Rahway, NJ, USA.
² Department of Diagnostic Radiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.
³ Department of Paediatrics, Laboratory for Paediatric Respiratory Research, Li Ka Shing Institute of Health Sciences, and Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China.
⁴ Merck & Co., Inc., Rahway, NJ, USA. Electronic address: meghan.white3@merck.com.
⁵ Global Medical and Scientific Affairs, MSD (Asia), Hong Kong SAR, China.

PMID: 39307024
DOI: 10.1016/j.vaccine.2024.126370

No abstract available

Keywords: Artificial intelligence; Image interpretation, computer-assisted; Observer variation; Pneumococcal infections; Pneumonia/classification; Radiography, thoracic.