How Artificial Intelligence Can Predict and Detect Stroke
- MIchelle Mckoy
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AI algorithms for earlier detection of stroke and to determine the type of stroke will speed treatment and improve outcomes.
With its increasing role in medical imaging, artificial intelligence (AI) gradually is becoming a go-to technology for building custom healthcare software to diagnose a wide range of diseases, from diabetic retinopathy to skin cancer. With several vendors now working on stroke detection AI algorithms and a few of these recently gaining U.S. Food and Drug Administration (FDA) approval, stroke may be the next frontier to conquer.
According to Centers for Disease Control and Prevention (CDC), stroke puts a significant burden on the U.S. healthcare, being one of the leading causes of long-term disability and accounting for $34 billion in yearly costs for care delivery, medications, and missed work days. Indeed, a major part of the expenditures related to stroke arises from a lengthy rehabilitation period. For most acute conditions, discharge from the hospital means that the patient has almost or completely recovered. But when it comes to stroke, discharge is just the beginning of a journey towards recovery.
What Healthcare can do for Stroke Patients
Best case would be to prevent patients from having a stroke, or, at least, accelerate time-to-diagnosis and thus minimize the brain damage. If a stroke is diagnosed immediately, the patient may fully regain their mobility, self-care and social skills, progress sooner, or experience only a slight decline
But an inaccurate diagnosis may lead to dire consequences. Ischemic stroke is the most common type of this condition, and it is usually treated with tissue plasminogen activator (tPA) to dissolve the blood clots and restore the blood flow to the brain. However, this medication can be deadly to a patient with a hemorrhagic stroke, because it will increase the internal bleeding. In turn, a hemorrhagic stroke may require surgical intervention or coil insertion to stop the bleeding. Deciding on the stroke type can be challenging, but health specialists still need to figure it out quickly to save the patient’s life and functionality.
- How Artificial Intelligence Can Predict and Detect Stroke
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