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New AI Platform Helps Radiologists Diagnose Stroke Faster Using CT Scans

By HospiMedica International staff writers
Posted on 18 Dec 2018
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Image: The AI-CT Stroke Screening System is designed to help radiologists detect and diagnose stroke faster than ever (Photo courtesy of Infervision).
Image: The AI-CT Stroke Screening System is designed to help radiologists detect and diagnose stroke faster than ever (Photo courtesy of Infervision).
A new artificial intelligence- (AI) driven stroke detection solution could help radiologists detect and diagnose stroke faster than ever, resulting in patients receiving lifesaving treatment when time is of the essence.

Infervision (Beijing, China), a tech company that uses deep learning and AI to assist and improve medical image analysis, has launched the AI-CT Stroke Screening System. The new technology assists doctors in determining whether the patients have suffered either a hemorrhagic (bleeding) stroke or an ischemic (blood clot) stroke, in order to provide effective and faster treatment.

In hemorrhagic stroke patients, the AI-CT Stroke Screening System technology assists doctors in accurately and quickly determining whether a bleeding-type stroke has occurred, how much blood volume is involved, and the bleed location - all of which are crucial for deciding treatment options. In ischemic strokes, doctors typically use MRI scans for diagnosis, especially in the early stages of the stroke. However, this can often pose a problem as MRIs are not always available around the clock, and also require additional time for preparation and scanning. With the Infervision platform, doctors can take scans using the much more readily available CT machines and use the AI technology to reach a faster diagnosis and save more brain tissue through faster and more appropriate treatment.

In order to develop this diagnostic capability, the Infervision platform applied deep learning technology and trained several thousands of datasets of annotated medical images. The Infervision platform is currently being tested by radiologists at Beijing Tian Tan Hospital to diagnose the type, location, and severity of a patient's stroke. In addition to the AI-CT Stroke Screening System, Infervision had earlier introduced a platform to aid radiologists in reading chest CT and X-ray scans for detecting lung cancer and other cardiothoracic diseases. Known as AI-CT Lung Screening System and AI-DR Lung Screening System, the technology has been in use for more than a year at several top hospitals in China, which is witnessing a huge demand for radiology diagnoses along with a scarcity of radiologists. Infervision's technology improves the efficiency of radiologists by reducing the time required to read each CT and X-ray scan and enabling the doctors to focus their attention on malignant lesions or nodules.

"Stroke is the third leading cause of death and the leading cause of permanent disability and loss of independent life-years in Western countries. At Infervision, we are committed to helping doctors speed their diagnosis of stroke so patients can get the best and most appropriate treatment as fast as possible. We have built a deep learning algorithm team of almost 100 people fully committed to developing the most cutting-edge AI solutions to make this a reality," said Kuan Chen (CK), founder and CEO of Infervision. "This can be life changing for many patients."

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