ā±ļø Every Second Counts in a Stroke
When a stroke occurs, millions of brain cells die every minute. Thatās why neurologists call it a ābrain attack.ā The faster a patient receives treatment, the better their chance of survival and recovery.
But traditional stroke workflows are often delayedāwaiting for a radiologist to review the CT scan, a neurologist to approve the case, and a team to prepare the OR.
Enter Viz.ai, an AI-powered stroke detection and care coordination platform thatās helping hospitals respond in minutes, not hours.
š§ What Is Viz.ai?
Viz.ai is a real-time AI platform that uses deep learning to analyze CT scans for signs of large vessel occlusion (LVO)āa severe form of ischemic strokeāand then automatically alerts the stroke team.
How It Works:
- A head CT scan is performed.
- Viz.aiās algorithm analyzes the scan within seconds.
- If a stroke is detected, the entire stroke team is notified via appācomplete with images and chat functions.
- The patient is fast-tracked to surgery or thrombectomy.
š Real-World Results
| Metric | Before Viz.ai | After Viz.ai |
|---|---|---|
| Time from scan to treatment | 58 minutes avg. | 25 minutes avg. |
| Treatment eligibility | 65% of stroke patients | 85% eligible with early alert |
| Outcome at 90 days (mRS ā¤ 2) | 38% | 55% |
A multi-center study published in Stroke journal showed Viz.ai improved treatment times by over 30%āleading to better functional recovery.
š± Streamlining Stroke Response with AI
Features of Viz.ai:
- Instant alerts with annotated CT images
- Secure chat and image-sharing among neurologists, ER staff, and radiologists
- Mobile-first interface for rapid decision-makingāeven when the doctor is off-site
- Workflow tracking to monitor and optimize hospital response times
š Hospitals Using Viz.ai
- Mount Sinai (New York): Cut median door-to-needle time by 20+ minutes.
- Cedars-Sinai (Los Angeles): Deployed Viz to improve after-hours response.
- University of Tennessee Medical Center: Reduced false positives in stroke detection.
š§ Why Viz.ai Matters
- š Faster diagnosis = more lives saved and less disability
- š§ Earlier interventions improve long-term recovery
- š„ Better coordination among specialistsāeven across hospital systems
- š Reduced burden on overworked radiology departments
āWeāve had cases where the patient was prepped for surgery before the neurologist even arrived, thanks to Viz.ā
ā Stroke Program Director, Regional Medical Center
š Regulatory Status
- FDA-cleared
- HIPAA-compliant
- Integrated with major PACS and EMR systems
š Final Thoughts
AI in neurology is no longer just about the futureāitās actively saving lives today. Viz.ai is proving that smart tools can improve response times, reduce mortality, and transform how hospitals manage acute neurological emergencies.
In a world where time is brain, Viz.ai is giving healthcare providers precious minutesāand patients a better tomorrow.