Improving diagnosis of pneumonia in children using advanced technology
Official title: Precision medicine approaches in the diagnosis of community-acquired pneumonia in children
Funded at Lurie Children's Hospital of Chicago · NIH-10985774 · Data updated 2026-11-12
This study is working on a smart tool to help doctors quickly and accurately diagnose pneumonia in kids using computer data, which could lead to better treatment and less unnecessary medicine.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Lurie Children's Hospital of Chicago NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project start | July 1, 2024 |
| Project end | June 30, 2028 |
| Funding year | 2024 |
| Award (this year) | $167,516 |
| NIH project number | 1K01HL169921-01A1 |
| Project ID | NIH-10985774 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are children aged 0-11 years who present with symptoms of respiratory infections.
✕Less likely to help
Patients with chronic respiratory conditions or those who do not exhibit symptoms of pneumonia may not benefit from this research.
What this research studies
This research focuses on enhancing the diagnosis of community-acquired pneumonia (CAP) in children through the use of electronic health record data and artificial intelligence. By developing a clinical prediction model, the study aims to provide healthcare professionals with better tools to accurately identify CAP in pediatric patients. The approach includes validating this model and creating a clinical decision support system to assist in real-time diagnosis during emergency care. This could lead to more effective treatment and reduced unnecessary use of antibiotics and imaging.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses of pneumonia in children, improving treatment outcomes and reducing hospitalizations.
How similar studies have gone: Other research has shown promise in using predictive analytics and AI for improving diagnostic accuracy in various medical conditions, indicating a potential for success in this approach.
Where this research is happening
-
Lurie Children's Hospital of Chicago
Chicago, United States Active
Researchers
- Principal investigator: Ramgopal, Sriram — Lurie Children's Hospital of Chicago
- Study coordinator: Ramgopal, Sriram
Related research
Other NIH-funded projects on the same topics.
-
Azithromycin vs doxycycline with beta-lactam in hospitalized adults with pneumonia
In hospitalized adults with community-acquired pneumonia, this study will compare two antibiotic combinations to see which works better and is safer.
-
Combined immunomodulatory effect of macrolides and corticosteroids in hospitalized CAP patients
This study looks at whether adding macrolide antibiotics to steroids helps or harms people hospitalized with community-acquired pneumonia (CAP).
-
Blocking ANGPTL4 to help people with severe community-acquired pneumonia
This project will test whether blocking the blood protein ANGPTL4 helps adults hospitalized with severe community-acquired pneumonia recover faster and survive more often.
-
Pediatric pneumonia severity score (PedCAPS)
This project will create and check a simple score to predict how serious pneumonia will be in children who come to the emergency room.
-
Ketogenic diet to help muscle in older adults with pneumonia
A small trial will test if a short 10-day ketogenic (low carb, high fat) feeding helps preserve muscle and speed recovery in people 65 and older hospitalized with pneumonia.
-
Using systems biology to understand severe community-acquired pneumonia
This project analyzes patients' lung and blood samples with advanced lab tests and computer models to find biological patterns that can help guide treatment for people with severe pneumonia, including COVID-related cases.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.