Artificial Intelligence Applications in Pneumonia: Diagnosis and Outcome Prediction
Mengou Zhu, Melissa J Bak, Catherine A Gao · 2026
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Description
Mengou Zhu, Melissa Bak, and Catherine Gao review what artificial intelligence now does for pneumonia care. Their 2026 review spans two data worlds. On the imaging side, neural networks detect pneumonia on chest X-rays and CT scans, in some studies past radiologist accuracy. On the records side, models forecast severity, death, length of stay, and readmission.
Fusing demographics, lab values, and vital signs sharpens those forecasts, the authors note. The review is candid about the remaining hurdles that keep tools from the bedside. Its value is a map of where the evidence is strong and where it is still promise, for a condition every hospital treats daily.
Catalog record
| CREATOR | Mengou Zhu, Melissa J Bak, Catherine A Gao |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 67 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |