US EditionMRI Could Replace Painful Spinal Tap to Diagnose Multiple Sclerosis More Quickly
- Researchers developed an artificial intelligence that detects when multiple sclerosis transitions to its progressive form with 90% accuracy.
- The AI was trained using clinical data from over 22,000 Swedish MS Registry patients, including neurological tests, MRI scans, and treatments.
- Currently, MS progression diagnosis occurs about three years late, causing some patients to use ineffective medicines before treatment adjustment.
- Co-Author Kim Kultima stated the model identifies disease stage by recognizing patterns, enabling earlier diagnosis and timely treatment to slow progression.
- The AI model, publicly available for researcher testing, could facilitate clinical trial recruitment and improve treatment strategies through earlier and accurate diagnosis.
Insights by Ground AI
Does this summary seem wrong?
30 Articles
30 Articles
All
Left
5
Center
5
Right
3
The Elkhart TruthReposted by 
The Moore County News-Press
The Moore County News-PressBlack Patients, Women Face Worse Outcomes, Death In Heart & Blood Vessel Procedures
Key Takeaways
Coverage Details
Total News Sources30
Leaning Left5Leaning Right3Center5Last UpdatedBias Distribution38% Left, 38% Center
Bias Distribution
- 38% of the sources lean Left, 38% of the sources are Center
38% Center
L 38%
C 38%
R 23%
Factuality
To view factuality data please Upgrade to Premium
Ownership
To view ownership data please Upgrade to Vantage
