Using AI to improve the analysis of body CT scans
Computer-Aided Triage of Body CT Scans with Deep Learning
This study is working on a smart computer tool that helps doctors read CT scans of the chest, belly, and pelvis more easily, so they can spot potential health issues faster and more accurately.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10908263 on NIH RePORTER |
What this research studies
This research aims to develop a computer-aided diagnosis tool that enhances the interpretation of CT scans of the chest, abdomen, and pelvis. By utilizing advanced artificial intelligence algorithms, the tool will help radiologists focus on areas of scans that are more likely to show actionable diseases, thereby improving their workflow and diagnostic accuracy. The project involves creating a comprehensive framework for managing and analyzing a large dataset of CT images to train the AI model effectively. Ultimately, this tool seeks to alleviate the challenges faced by radiologists due to the increasing complexity and volume of imaging data.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals undergoing CT scans of the chest, abdomen, or pelvis who may have conditions requiring detailed imaging analysis.
Not a fit: Patients who do not require CT imaging or those with conditions that are not typically assessed through CT scans may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly enhance the accuracy and efficiency of CT scan interpretations, leading to better patient outcomes.
How similar studies have performed: Previous research has shown promising results in using AI for medical imaging, indicating that this approach has the potential for success.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Lo, Joseph Y — Duke University
- Study coordinator: Lo, Joseph Y
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.