Using AI to improve radiation therapy for lung cancer

Early-Stage Clinical Trial of AI-Driven CBCT-Guided Adaptive Radiotherapy for Lung Cancer

NIH-funded research Emory University · NIH-11079640

This study is looking at how to use artificial intelligence to make better images for radiation therapy in patients with early-stage non-small cell lung cancer, so that doctors can more accurately target the treatment as the tumor changes, which could lead to better results for you.

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionEmory University NIH-funded
Lab location1 site (Atlanta, United States)
Project IDNIH-11079640 on NIH RePORTER

What this research studies

This research focuses on enhancing the accuracy of stereotactic body radiation therapy (SBRT) for early-stage non-small cell lung cancer by utilizing artificial intelligence. The study aims to develop a method that generates high-quality synthetic CT images and performs multi-organ segmentation using cone beam computed tomography (CBCT) scans. By improving the quality of these images, the research seeks to facilitate real-time adaptive radiation therapy, which can adjust treatment based on changes in tumor size and position. Patients may benefit from more precise targeting of radiation, potentially leading to better treatment outcomes.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals diagnosed with early-stage non-small cell lung cancer who are scheduled to undergo stereotactic body radiation therapy.

Not a fit: Patients with advanced-stage lung cancer or those not eligible for radiation therapy may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate and effective radiation therapy for lung cancer patients, improving their chances of recovery.

How similar studies have performed: Previous research has shown promise in using AI for enhancing imaging and treatment accuracy in radiation therapy, indicating a potential for success in this novel approach.

Where this research is happening

Atlanta, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.