Using deep learning to predict outcomes for knee surgery patients
Automated Arthroscopic Partial Meniscectomy Patient Outcome Prediction using Deep Learning
This study is looking at how smart computer systems can help doctors analyze knee MRI images to better understand how patients will recover after knee surgery, especially if physical therapy hasn't worked well for them.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cleveland Clinic Lerner Com-Cwru NIH-funded |
| Lab location | 1 site (Cleveland, United States) |
| Project ID | NIH-10887586 on NIH RePORTER |
What this research studies
This research focuses on developing automated systems that utilize deep learning to analyze knee MRI images for patients undergoing arthroscopic partial meniscectomy (APM). By identifying abnormalities in knee cartilage and meniscus, the study aims to predict patient outcomes one year after surgery, especially when physical therapy has not been effective. The approach combines advanced imaging techniques with machine learning to enhance the understanding and treatment of knee osteoarthritis. Patients will benefit from more accurate predictions regarding their recovery and treatment options.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients aged 65 and older who are considering or have undergone arthroscopic partial meniscectomy for knee osteoarthritis.
Not a fit: Patients with knee conditions that do not require surgical intervention or those who are younger than 65 may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved patient outcomes and personalized treatment plans for individuals undergoing knee surgery.
How similar studies have performed: Other research has shown promising results using machine learning for medical imaging and outcome prediction, indicating that this approach has potential for success.
Where this research is happening
Cleveland, United States
- Cleveland Clinic Lerner Com-Cwru — Cleveland, United States (Active)
Researchers
- Principal investigator: Yang, Mingrui — Cleveland Clinic Lerner Com-Cwru
- Study coordinator: Yang, Mingrui
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.