AI that teams up with radiologists to find cancers on chest X-rays
SCH: AI-DOCTOR COLLABORATIVE MEDICAL DIAGNOSIS
['FUNDING_R01'] · UNIVERSITY OF HOUSTON · NIH-11142629
This project builds AI that works alongside radiologists to spot cancers and other problems on chest X-rays so fewer cases are missed.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF HOUSTON (nih funded) |
| Locations | 1 site (HOUSTON, UNITED STATES) |
| Trial ID | NIH-11142629 on ClinicalTrials.gov |
What this research studies
You would be part of work that trains AI to help radiologists read medical images, especially chest X-rays, by combining computer vision with information about where the radiologist is looking. The team will use deep learning models plus gaze-tracking to learn how radiologists examine images and when the AI should offer input. They will design a simple, low-disruption interface so AI advice fits naturally into a radiologist's workflow. Finally, they will test the combined approach on real imaging cases to see if it reduces missed cancers.
Who could benefit from this research
Good fit: People getting chest X-rays for lung cancer screening or diagnostic workups would be the most relevant patients for this work.
Not a fit: Patients whose conditions cannot be seen on chest X-ray or who need immediate emergency care may not directly benefit from this project.
Why it matters
Potential benefit: If successful, this could reduce missed cancers on X-rays and help patients get earlier diagnoses.
How similar studies have performed: Previous AI tools have improved detection of lung abnormalities on X-rays, but using gaze-based collaboration between humans and AI is a newer approach with limited real-world testing.
Where this research is happening
HOUSTON, UNITED STATES
- UNIVERSITY OF HOUSTON — HOUSTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: NGUYEN, HIEN VAN — UNIVERSITY OF HOUSTON
- Study coordinator: NGUYEN, HIEN VAN
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 below.
Conditions: Cancers