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.
Authors
- yingying ye
- Weifang Zhou
Institutions
- Soochow University (CN)
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