Artificial intelligence in the diagnosis and prognosis of pediatric bacterial pneumonia: current advances and challenges

In clinical practice, artificial intelligence driven decision support is emerging as a valuable tool for the early diagnosis of pediatric bacterial pneumonia. As high-quality, multicenter datasets continue to grow and model interpretability improves, artificial intelligence is expected to become increasingly important in managing pediatric bacterial pneumonia.

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Publication Details

Journal
Current Opinion in Pediatrics
Published
2026-01-13
DOI
https://doi.org/10.1097/mop.0000000000001545
Primary Topic
Pneumonia and Respiratory Infections
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence in the diagnosis and prognosis of pediatric bacterial pneumonia: current advances and challenges

yingying ye, Weifang Zhou
Current Opinion in Pediatrics
Pneumonia and Respiratory Infections
article

Artificial intelligence in the diagnosis and prognosis of pediatric bacterial pneumonia: current advances and challenges

yingying ye, Weifang Zhou
article en

Abstract

In clinical practice, artificial intelligence driven decision support is emerging as a valuable tool for the early diagnosis of pediatric bacterial pneumonia. As high-quality, multicenter datasets continue to grow and model interpretability improves, artificial intelligence is expected to become increasingly important in managing pediatric bacterial pneumonia.

Current Opinion in PediatricsVol. 38(2)
Soochow University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 88%
Pneumonia and Respiratory Infections
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Artificial intelligence in the diagnosis and prognosis of pediatric bacterial pneumonia: current advances and challenges — yingying ye, Weifang Zhou · Current Opinion in Pediatrics (2026) | TGRS Research Map | TGRS