Using artificial intelligence to improve treatment for rectal cancer in veterans

Artificial Intelligence Imaging Predictors for Rectal Cancer Management

NIH-funded research Louis Stokes Cleveland VA Medical Center · NIH-10807273

This study is looking at how artificial intelligence can create personalized treatment plans for veterans with rectal cancer, helping to find the best therapies for each individual, especially older veterans with other health issues, to improve their treatment results and overall well-being.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionLouis Stokes Cleveland VA Medical Center NIH-funded
Lab location1 site (Cleveland, United States)
Project IDNIH-10807273 on NIH RePORTER

What this research studies

This research investigates how artificial intelligence can help personalize treatment plans for veterans diagnosed with rectal cancer. By analyzing imaging data, the study aims to identify which patients are likely to benefit from specific therapies, such as neoadjuvant chemotherapy and surgery. The goal is to move away from a one-size-fits-all approach to a more tailored strategy that considers individual patient characteristics, particularly for older veterans with additional health concerns. This could lead to better treatment outcomes and quality of life for patients.

Who could benefit from this research

Good fit: Ideal candidates for this research are veterans diagnosed with rectal cancer, particularly those who are older and may have additional health issues.

Not a fit: Patients who do not have rectal cancer or are not veterans may not receive any benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more effective and personalized treatment options for veterans with rectal cancer, potentially improving survival rates and quality of life.

How similar studies have performed: Other research has shown promising results using artificial intelligence in cancer treatment personalization, indicating potential for success in this approach.

Where this research is happening

Cleveland, 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.