Using AI to predict lung injury progression in ARDS patients
Official title: Predicting ARDS trajectory with deep generative models of CT images
Funded at Massachusetts General Hospital · NIH-11054462 · Data updated 2026-11-12
This study is exploring how advanced computer technology can help doctors better understand and treat patients with Acute Respiratory Distress Syndrome (ARDS) by analyzing CT scans to predict how their lung condition might change and how they might respond to different treatments.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts General Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | January 1, 2025 |
| Project end | December 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $144,989 |
| NIH project number | 1K01HL173622-01A1 |
| Project ID | NIH-11054462 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults diagnosed with Acute Respiratory Distress Syndrome who require mechanical ventilation.
✕Less likely to help
Patients with ARDS who are not receiving mechanical ventilation or those with other underlying conditions that complicate ARDS may not benefit from this research.
What this research studies
This research focuses on improving the care of patients with Acute Respiratory Distress Syndrome (ARDS) by utilizing advanced artificial intelligence techniques. It aims to develop deep generative models that analyze CT images to predict how lung injury will progress and how patients will respond to different treatments. By synthesizing CT images that reflect potential treatment outcomes, the research seeks to provide a more objective and rapid assessment of patient conditions, ultimately leading to personalized care strategies. The approach leverages cutting-edge AI algorithms to enhance the accuracy of predictions and reduce the burden of manual image processing.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatment plans for ARDS patients, potentially improving survival rates and recovery outcomes.
How similar studies have gone: Other research has shown promise in using AI for medical imaging and predictive analytics, indicating that this approach could be effective in the context of ARDS.
Where this research is happening
-
Massachusetts General Hospital
Boston, United States Active
Researchers
- Principal investigator: Xin, Yi — Massachusetts General Hospital
- Study coordinator: Xin, Yi
Related research
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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.