Using Artificial Intelligence to Streamline Research on Rheumatoid Arthritis Treatments
Scientific Study Title: STREAM-AI: Systematic Trial Record Extraction and Matching using Artificial Intelligence to Advance Living Guidelines in Rheumatoid Arthritis
Study Start Date: September 2025
Study End Date: August 2027
Why Do This Research?
Doctors and rheumatoid arthritis patients rely on clear, current information when choosing the best treatments. New research is published constantly, and each clinical trial may produce many separate scientific papers. This makes it time-consuming and difficult to sort through and stay on top of all the information. This project, STREAM-AI (Systematic Trial Record Extraction and Matching using Artificial Intelligence), will aim to make this process faster and more accurate using artificial intelligence.
What Will Be Done?
This project will create a new artificial intelligence tool that can:
- Recognize multiple scientific articles coming from the same clinical trial.
- Automatically sort each trial by the treatment being studied.
- Provide an easy-to-use online system where human experts can double-check the artificial intelligence’s decisions.
By combining medical and artificial intelligence expertise, this project will help keep rheumatoid arthritis treatment recommendations up to date more efficiently, ensuring that patients and healthcare providers have access to the best available evidence.
Who is Involved?
The work is embedded within several large international consortiums, including Cochrane, and rheumatology guideline groups.
The Research Team:
Principal Investigator:
Glen Hazlewood, MD, PhD, FRCPC, Research Scientist, Arthritis Research Canada (University of Calgary)
Co-Investigator:
Mina Aminghafari, PhD (University of Calgary)
Trainees:
Kamso Mujaab, PhD, (University of Calgary)
Youssef Abdelwahab, (University of Calgary)
Archana Senthil (University of Calgary)
Who Funded This Research?
McCaig Institute for Bone and Joint Health
