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

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

News | Radiology Imaging

Feb. 12, 2026 — Siemens Healthineers and Mayo Clinic are expanding their strategic collaboration to enhance patient care ...

Time February 13, 2026
arrow
News | Magnetic Resonance Imaging (MRI)

Feb. 9, 2026 — MRIguidance, a MedTech company developing BoneMRI, a radiation-free bone imaging solution, has appointed ...

Time February 09, 2026
arrow
Feature | Cardiac Imaging | Kyle Hardner

Advances in coronary CT angiography (CCTA) have reached the point where image quality and AI capabilities are creating ...

Time February 06, 2026
arrow
News | Ultrasound Women's Health

Feb. 5, 2026 — BrightHeart, a global provider of AI-driven prenatal ultrasound, has announced the availability of its B ...

Time February 05, 2026
arrow
News | Lung Imaging

Feb. 3, 2026 — RevealDx, a leader in the characterization of lung nodules, recently announced FDA clearance of RevealAI ...

Time February 04, 2026
arrow
News | FDA

Jan. 29, 2026 — GE HealthCare has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for MIM ...

Time February 03, 2026
arrow
News | Magnetic Resonance Imaging (MRI)

Jan. 27, 2026 — Hyperfine has announced results from the largest data set to date evaluating stroke detection with its ...

Time January 28, 2026
arrow
News | Radiology Imaging

Jan.26, 2026 — SimonMed Imaging has unveiled an updated brand and the launch of SimonMed Longevity, a new division ...

Time January 27, 2026
arrow
News | Point-of-Care Ultrasound (POCUS)

Jan. 22, 2026 — Qure.ai has received a grant from the Gates Foundation to develop a large open-source multi-modal ...

Time January 23, 2026
arrow
News | Magnetic Resonance Imaging (MRI)

Jan. 20, 2026 — Hyperfine, the developer of the first FDA-cleared AI-powered portable MRI system for the brain — the ...

Time January 20, 2026
arrow
Subscribe Now