🧠 Detecting Strokes Through AI

Today's Highlights

• Viz - shortening the time it takes to detect a stroke through machine learning
• AI events - upcoming events in the AI world.
• In Other News - a few interesting developments we're tracking.

Viz - shortening the time it takes to detect a stroke through machine learning

Viz.ai is a healthcare technology startup that uses artificial intelligence (AI) to enhance patient outcomes and lower stroke treatment costs. The core product of Viz.ai is the Viz LVO platform, which is meant to help healthcare practitioners diagnose and treat strokes caused by big vessel occlusions (LVOs). LVOs are a form of stroke in which a blood vessel in the brain becomes blocked by a clot or other debris, resulting in a loss of blood flow and oxygen to the afflicted area of the brain.

The Viz LVO platform analyzes CT scans using AI algorithms to detect scenarios when a patient may be suffering from an LVO stroke. The system then notifies a neurologist or other healthcare practitioner, who may assess the patient and select the best course of therapy.

One of the most important advantages of the Viz LVO platform is that it may dramatically shorten the time it takes to detect and treat LVO strokes. Conventional LVO detection procedures can take several hours, during which time the patient's health may deteriorate. Healthcare professionals can get notifications from the Viz LVO platform within minutes of a patient's CT scan, allowing them to commence treatment immediately and perhaps save the patient's life.

The Viz LVO platform, in addition to its diagnostic capabilities, offers a function called Viz CTP, which can analyze CT perfusion images to assess the degree of the stroke and the parts of the brain that have been impacted. This data can assist healthcare practitioners in developing a specific treatment plan for each patient, increasing their chances of a successful recovery.

Dr. Chris Mansi and Dr. David Golan started the firm in 2016 and it is located in San Francisco, California. They have raised $251.6 million to date.

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