Using AI to predict outcomes in diverticulitis
Prediction of outcomes in diverticulitis using a deep-learning framework
['FUNDING_CAREER'] · MASSACHUSETTS GENERAL HOSPITAL · NIH-11010795
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
| Phase | ['FUNDING_CAREER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | MASSACHUSETTS GENERAL HOSPITAL (nih funded) |
| Locations | 1 site (BOSTON, UNITED STATES) |
| Trial ID | NIH-11010795 on ClinicalTrials.gov |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals experiencing their first episode of diverticulitis, particularly those at risk for complications.
Not a fit: Patients with a history of recurrent diverticulitis or those who have already undergone surgical intervention may not benefit from this research.
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 performed: 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
BOSTON, UNITED STATES
- MASSACHUSETTS GENERAL HOSPITAL — BOSTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: MA, WENJIE — MASSACHUSETTS GENERAL HOSPITAL
- Study coordinator: MA, WENJIE
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.