Using artificial intelligence to improve lung cancer screening and diagnosis
Radiologist-Centered Artificial Intelligence (RCAI) for Lung Cancer Screening and Diagnosis
This study is working on a smart tool to help doctors who look at lung scans, making it easier for them to spot lung cancer and reduce mistakes, so patients can get better and faster diagnoses.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Northwestern University at Chicago NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project ID | NIH-10852889 on NIH RePORTER |
What this research studies
This research focuses on enhancing lung cancer screening through the development of radiologist-centered artificial intelligence (AI) algorithms. By creating a virtual cognitive assistant, the project aims to improve the accuracy and efficiency of lung cancer diagnoses by providing interpretable feedback to radiologists. The approach includes developing an eye-tracking platform to analyze radiologists' gaze patterns during readings, which will help identify cognitive biases and improve collaboration among radiologists. Ultimately, the goal is to reduce missed tumors and improve the characterization of lung nodules.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals undergoing lung cancer screening or those with suspicious lung nodules.
Not a fit: Patients who do not require lung cancer screening or have already been diagnosed with lung cancer may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate lung cancer diagnoses and potentially lower mortality rates from lung cancer.
How similar studies have performed: Previous research has shown promise in using AI for diagnostic purposes, indicating that this approach could lead to significant advancements in lung cancer screening.
Where this research is happening
Chicago, United States
- Northwestern University at Chicago — Chicago, United States (Active)
Researchers
- Principal investigator: Bagci, Ulas — Northwestern University at Chicago
- Study coordinator: Bagci, Ulas
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.