Automated chest X-ray reading for diagnosing childhood TB (AI for kids and HIV)
Official title: The development and expansion of automated chest x-ray reading algorithms for childhood tuberculosis
Funded at University of California, San Francisco · NIH-11565120 · Data updated 2026-11-12
A pediatric-focused AI tool is being developed to read chest X-rays and help screen, diagnose, and guide treatment for children with TB, including those living with HIV.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project start | September 1, 2026 |
| Project end | May 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $183,488 |
| NIH project number | 3R01HL184914-01S1 |
| Project ID | NIH-11565120 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are children and adolescents including those with HIV who are undergoing evaluation for pulmonary TB and have chest X-rays.
✕Less likely to help
Children without suspected TB or without access to chest X-ray evaluation may not benefit.
What this research studies
This project aims to adapt and test computer-aided reading of pediatric chest X-rays to improve detection and management of tuberculosis in children, especially those with HIV. Researchers will fine-tune AI models on pediatric X-ray images to support decisions about screening, diagnosis, and how long to treat. The study will evaluate accuracy, safety, and usefulness of the AI tool in real-world pediatric settings. If successful, this technology could reduce missed TB cases and shorten time to treatment for children.
Why it matters
Potential benefit: If successful, children could receive quicker and more accurate TB screening and treatment decisions.
How similar studies have gone: AI tools for adult TB screening exist, but this project focuses on validating and adapting them for children, which is novel and more challenging.
Where this research is happening
-
University of California, San Francisco
San Francisco, United States Active
Researchers
- Principal investigator: Jaganath, Devan — University of California, San Francisco
- Study coordinator: Jaganath, Devan
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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.