Using deep learning to assess the risk of oral cancer in patients with potentially malignant disorders
Deep Learning Image Analysis Algorithms to Improve Oral Cancer Risk Assessment for Oral Potentially Malignant Disorders
This study is looking to make it easier for doctors to understand the risk of oral cancer in patients with conditions like leukoplakia by using advanced technology to analyze tissue images, which could help improve how we prevent and treat these issues.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project ID | NIH-11120922 on NIH RePORTER |
What this research studies
This research focuses on improving the assessment of oral cancer risk in patients with oral potentially malignant disorders (OPMD) like leukoplakia. By utilizing advanced deep learning algorithms on histological images, the study aims to create a more consistent and accurate risk scoring system. This approach will analyze various cellular and tissue features to better predict the likelihood of progression to oral squamous cell carcinoma. The findings will be validated through a large retrospective study and prospective trials, potentially leading to enhanced treatment and prevention strategies.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with oral potentially malignant disorders, particularly those with leukoplakia.
Not a fit: Patients without oral potentially malignant disorders or those with conditions unrelated to oral cancer risk may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate risk assessments and better treatment options for patients with oral potentially malignant disorders.
How similar studies have performed: Previous research has shown promise in using deep learning for medical image analysis, suggesting that this approach could yield significant advancements in risk assessment for oral cancer.
Where this research is happening
New Haven, United States
- Yale University — New Haven, United States (Active)
Researchers
- Principal investigator: Pickering, Curtis — Yale University
- Study coordinator: Pickering, Curtis
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.