AlphaStroke™

Making stroke decisions smarter, and reducing delays in critical treatment.
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Overview

Forest Devices has developed disruptive technology:

The first objective, electronically-determined test for stroke for use by EMS.

 

Prehospital misidentification of stroke is the single largest contributor to delayed and missed stroke treatments.

Exams are subjective

Of the 4M stroke exams performed by first responders per year, 30-50% of stroke patients are misdiagnosed and transported to the wrong hospital.

Hospitals are not equal

Only 5% of all hospitals can treat major stroke emergencies, and only 20% can treat moderate stroke emergencies so patients are often transfered to another hospital.

Treatment is delayed

For major stroke patients, a misdiagnosis causes a median delay of 110 minutes, and decreases the likelihood of receiving the most efficacious stroke treatment by 90%.

Key benefits:
  • The first low-cost portable stroke detector
  • Artificial intelligence-driven platform
  • Applied in less than 2 minutes
  • Result in less than 3 minutes
  • Easy to use

Details

Increase Diagnostic Accuracy

Shown an increase in diagnostic accuracy of 92% in pilot clinical trials of nearly 300 people.

Reduce Negative Outcomes

Expected to reduce — and possibly eliminate in some cases — disabilities, rehabilitation costs and even death from stroke

Reduce Hospital Reimbursement Loss

Expected to reduce or avoid hospital reimbursement loss by allowing for the most efficacious stroke treatment within required periods of time.

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Expert Analysis

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Expert Analysis

"This technology will be a game-changer in the prehospital. Easy, fast, and more accurate than clinical impression for the diagnosis of LVO, using AlphaStroke™ on ambulances will mean more stroke victims getting to the right hospital as soon as possible. Time is brain, and fast treatment is the only thing that can prevent death or permanent disability from stroke.”

- Dr. Frank Peacock , Senior Study Author, Vice Chair for Research of Emergency Medicine

Baylor College of Medicine

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If you have questions about the phase 1 application, please email [email protected] .

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