Technology | Computed Tomography (CT) | November 28, 2017

Infervision Launches AI Platform to Help Radiologists Diagnose Stroke Faster

Infervision demonstrates Head CT A.I. Augmented Screening, showing how deep learning can help doctors identify the type, location of stroke more quickly, reducing time to treatment

Infervision Launches AI Platform to Help Radiologists Diagnose Stroke Faster

November 28, 2017 — Infervision is introducing what it calls the first and only artificial intelligence (AI) platform to help radiologists detect and diagnose stroke faster, leading to patients getting life-saving treatment when time is of the essence. This new stroke detection solution is being introduced at the 2017 Radiological Society of North America (RSNA) conference, Nov. 26-Dec. 1 in Chicago.

The new Head CT (computed tomography) AI Augmented Screening technology assists doctors to determine which type of stroke a patient may have suffered, either a hemorrhagic (bleeding) stroke or an ischemic (blood clot) stroke, so that patients can receive effective and faster treatment. With a stroke, a patient suffers loss of brain tissue as the tissue dies without proper blood flow, leading to various types of impairment or even death, so a speedier diagnosis is essential to shorten the time before the proper treatment could begin.

To develop this diagnostic capability, the Infervision platform applied deep learning technology and trained many thousands of datasets of annotated medical images. Today, radiologists at Beijing Tian Tan Hospital are testing the Infervision platform to diagnose the type, location and severity of a patient’s stroke. For hemorrhagic stroke patients, the Head CT AI technology assists doctors in accurately and quickly determining whether a bleeding-type stroke has occurred, how much blood volume is involved (which is quite difficult and often inaccurately estimated through other methods), and the bleed location — crucial factors in deciding treatment options.

In ischemic strokes, today doctors typically use magnetic resonance imaging (MRI) scans for diagnosis, especially in the early stages of the stroke, however this can often be a problem as MRIs are less available 24/7 and the MRI requires additional time for preparation and scanning. When treating strokes, the faster the treatment begins, the better the patient outcome may be. With the Infervision platform, doctors may take scans with the much more readily available CT machine, and use the AI technology to help guide them in making a faster diagnosis and perhaps save more brain tissue with faster and more appropriate treatment.

The Head CT AI Augmented Screening technology is the second medtech solution from Infervision. Last spring the company introduced a platform to aid radiologists in reading chest CT and X-ray scans to detect lung cancer and other cardiothoracic diseases. Known as AI-CT and AI-DR, the technology has been in use for more than a year at several top hospitals in China, a country with a huge demand for radiology diagnoses and a scarcity of radiologists. After rigorous testing and integrating the software with the standard picture archiving and communication system (PACS), Infervision’s technology is proving to be extremely effective, according to the company. It improves the efficiency of radiologists, by reducing the time to read each CT and X-ray scan, and enabling the doctors to bring their attention to malignant lesions or nodules.

For more information: www.infervision.com

 

Related Content

Sponsored Content | Videos | Artificial Intelligence | May 25, 2018
Change Healthcare is looking at how to apply AI into enterprise imaging by using algorhythms to change data into know
Videos | Artificial Intelligence | May 24, 2018
ITN Contributing Editor Greg Freiherr interviews Eliot Siegel, M.D., radiology professor at the University of Mar
News | Computed Tomography (CT) | May 21, 2018
The Istituto Oncologico Veneto (IOV) in Padua, Italy, has acquired MILabs’ latest-generation Versatile Emission...
ACR Urges Stricter Adherence to Lung Cancer Screening Guidelines
News | Lung Cancer | May 21, 2018
A new statement from the American College of Radiology (ACR) asserts that provider non-compliance to lung cancer...
Matrix Analytics Announces Company Rebrand to Eon
News | Artificial Intelligence | May 16, 2018
Denver-based Matrix Analytics announced the company's rebrand to Eon. The rebrand marks the expansion of Eon's...
Joint ACR-SIIM Summit to Examine Economics of AI in Healthcare
News | Artificial Intelligence | May 15, 2018
On May 30, 2018, the American College of Radiology (ACR) Data Science Institute (DSI) and the Society for Imaging...
FDA Clears CurveBeam LineUp Weight-Bearing Multi-Extremity CT System

Image courtesy of CurveBeam

Technology | Orthopedic Imaging | May 14, 2018
CurveBeam announced it has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its LineUp Multi-...
EnvoyAI, TeraRecon and Insignia Bringing Artificial Intelligence to U.K. Customers
Technology | Advanced Visualization | May 11, 2018
EnvoyAI announced a new integration with Insignia Medical Systems’ InSight PACS (picture archiving and communication...
Impaired Brain Pathways May Cause Attention Problems After Stroke
News | Neuro Imaging | May 10, 2018
Damage to some of the pathways that carry information throughout the brain may be responsible for attention deficit in...
Northwestern Medicine Mobile Stroke Unit Delivers Life-Saving Care 30 Minutes Sooner
News | Stroke | May 07, 2018
A new data analysis of the Northwestern Medicine Mobile Stroke Unit (MSU) found the specialized ambulance provided life...
Overlay Init