Using AI to predict outcomes in diverticulitis
Official title: Prediction of outcomes in diverticulitis using a deep-learning framework
Funded at Massachusetts General Hospital · NIH-11010795 · Data updated 2026-11-12
This study is looking at how smart computer technology can help doctors understand the risks of complications and recurrences in patients with diverticulitis by analyzing medical records and CT scans, which could lead to better treatment choices and improved care for you.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts General Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | January 16, 2024 |
| Project end | December 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $156,244 |
| NIH project number | 5K01DK135854-02 |
| Project ID | NIH-11010795 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals experiencing their first episode of diverticulitis, particularly those at risk for complications.
✕Less likely to help
Patients with a history of recurrent diverticulitis or those who have already undergone surgical intervention may not benefit from this research.
What this research studies
This research investigates how artificial intelligence can analyze clinical data and imaging to predict the likelihood of complications and recurrences in patients with diverticulitis. By utilizing natural language processing for clinical notes and deep learning for abdominal CT scans, the study aims to identify patients at higher risk for adverse outcomes. This personalized approach could help guide treatment decisions, potentially improving patient management and outcomes.
Why it matters
Potential benefit: If successful, this research could lead to better prediction of complications in diverticulitis, allowing for more tailored and effective treatment plans.
How similar studies have gone: Other research has shown promise in using AI for predicting medical outcomes, suggesting that this approach could be effective in the context of diverticulitis.
Where this research is happening
-
Massachusetts General Hospital
Boston, United States Active
Researchers
- Principal investigator: Ma, Wenjie — Massachusetts General Hospital
- Study coordinator: Ma, Wenjie
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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.