Developing AI tools to improve diagnosis of traumatic torso bleeding
Official title: Human-centered CT-based CADx Tools for Traumatic Torso Hemorrhage
Funded at University of Maryland Baltimore · NIH-10912442 · Data updated 2026-11-12
This study is working on new technology that uses advanced imaging and artificial intelligence to help doctors quickly find and treat serious bleeding from injuries, so patients can get the care they need faster and reduce the risk of complications.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Maryland Baltimore NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $282,375 |
| NIH project number | 5R01GM148987-02 |
| Project ID | NIH-10912442 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who have sustained traumatic injuries leading to potential torso hemorrhage.
✕Less likely to help
Patients with non-traumatic conditions or those who do not present with torso injuries may not benefit from this research.
What this research studies
This research focuses on creating advanced computer-aided diagnostic tools that utilize whole-body CT angiography to quickly identify and assess traumatic torso hemorrhage. By leveraging artificial intelligence, the project aims to enhance the accuracy and speed of diagnosing severe bleeding from injuries, which is crucial for timely medical intervention. The goal is to reduce preventable deaths by enabling healthcare providers to activate massive transfusion protocols and surgical interventions more effectively. Patients with traumatic injuries will benefit from improved diagnostic capabilities that can lead to faster treatment decisions.
Why it matters
Potential benefit: If successful, this research could significantly reduce preventable deaths from traumatic torso hemorrhage by enabling quicker and more accurate diagnoses.
How similar studies have gone: Previous research has shown promise in using AI for diagnostic purposes in trauma care, indicating that this approach could lead to significant advancements in patient outcomes.
Where this research is happening
-
University of Maryland Baltimore
Baltimore, United States Active
Researchers
- Principal investigator: Dreizin, David — University of Maryland Baltimore
- Study coordinator: Dreizin, David
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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.