Using AI to improve the analysis of pathology images for better disease diagnosis
Interpretable Deep Learning Algorithms for Pathology Image Analysis
This study is working on smart computer programs that help doctors look at medical images, like those used to check for cancer, so they can get more consistent and accurate results when diagnosing diseases.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-10900587 on NIH RePORTER |
What this research studies
This research focuses on developing advanced AI algorithms to analyze pathology images, which are crucial for diagnosing diseases like cancer and understanding biological processes. By using deep learning techniques, the project aims to reduce variability in image interpretation that can occur between different observers. The algorithms will be trained on large, high-resolution images to ensure they can accurately classify and segment tissue samples. This approach seeks to provide more objective and reliable results that can enhance clinical decision-making.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients undergoing diagnostic procedures that involve pathology image analysis, particularly those with conditions like cancer or heart disease.
Not a fit: Patients who do not require pathology image analysis for their diagnosis or treatment may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and consistent diagnoses for patients, improving treatment outcomes.
How similar studies have performed: Previous research has shown promising results in using AI for image analysis in pathology, indicating that this approach has potential for success.
Where this research is happening
Boston, United States
- Brigham and Women's Hospital — Boston, United States (Active)
Researchers
- Principal investigator: Mahmood, Faisal — Brigham and Women's Hospital
- Study coordinator: Mahmood, Faisal
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.