News | Artificial Intelligence | June 30, 2020

DiA Granted FDA Approvals for New COVID-19-related AI Solutions

DiA’s new AI-based LVivo RV enables rapid assessment of right ventricle dysfunction in COVID-19 patients, while LVivo Bladder supports clinicians with automated bladder volume analysis to minimize scan time and risk of infection

DiA’s new AI-based LVivo RV enables rapid assessment of right ventricle dysfunction in COVID-19 patients, while LVivo Bladder supports clinicians with automated bladder volume analysis to minimize scan time and risk of infection

June 30, 2020 — DiA Imaging Analysis, a leading provider of advanced AI-based solutions for ultrasound analysis, announced today that it has received clearance from the U.S. Food and Drug Administration (FDA) 510(k) and a European CE mark for two additional AI-powered ultrasound analysis solutions.

  • LVivo RV is the first AI-based fully automated analysis of the heart’s right ventricle (RV) and can be used to diagnose and monitor right heart ailments in acute and chronic patients suspected to have RV injury, including those with COVID-19.
  • LVivo Bladder uses AI to deliver automated bladder volume measurements on ultrasound devices, significantly reducing patient scanning time and risk of infection.

Both solutions join DiA’s LVivo Toolbox, of now six FDA/CE-cleared AI-powered ultrasound solutions in total. The company was recently awarded a COVID-19-specific government grant from Israel’s Innovation Authority to accelerate access to its AI-based offerings in response to the COVID-19 pandemic.

“Physicians now face a host of new challenges and restrictions on the frontlines that underscores the critical role of ultrasound and value of having access to AI-powered solutions,” said Hila Goldman-Aslan, DiA’s CEO and Co-Founder. “With today’s FDA and CE approvals, DiA takes a big step toward strengthening our AI offerings for cardiac ultrasound while realizing our vision of making ultrasound analysis smarter and more accessible across a broader range of healthcare segments.”

There is growing evidence linking COVID-19 mortality and right ventricle heart failure. A study at Mount Sinai Morningside Hospital found that 31% of the patients hospitalized with COVID-19 had right ventricle failure, and that 41% of patients in this subset who died had signs of RV dilation or enlargement. By automatically providing quantified 2D analysis of the RV’s size and function, LVivo RV helps detect and monitor right heart failure. LVivo RV utilizes DiA’s flagship LVivo Artificial Intelligence platform to deliver faster, more accurate analysis while at the same time enabling clinicians to shorten patient scanning and evaluation time.

“The RV has always been very difficult to evaluate, due to its unique structure and location,” said Anthony M. Demaria, M.D., a leading cardiologist at University of California, San Diego (UCSD) Medical Center and a co-investigator of the multi-center study for LVivo RV. “This is further compounded by the complexity of the analysis itself, which relies on a combination of manual calculations and visual user input. LVivo RV is a welcome and very useful addition to clinicians’ toolbox for more quickly and effectively monitoring the right ventricle.”

Additional co-investigators of the study included David Rosenmann, M.D., and Shemi Carasso, M.D., at Israel’s Shaare Zedek Medical Center and Baruch Padeh Medical Center, respectively.

With LVivo Bladder, DiA extends its expertise beyond cardiology to abdominal ultrasound. Healthcare-associated urinary tract infections (UTIs) account for up to 40% of infections in hospitals and 23% of infections in the intensive care unit (ICU). LVivo Bladder enables ultrasound users to automatically and accurately measure bladder volume, which is currently done on cart-based systems manually or by dedicated bladder scanners. LVivo Bladder’s automated volume calculation turns any ultrasound device into a bladder scanner, minimizing patient scanning time and helping to prevent unnecessary catheterization to reduce the risk of infection.

For more information: www.dia-analysis.com

Related Content

Selfied might be used with AI to identify patients with heart disease. Getty Images

Getty Images

News | Artificial Intelligence | August 24, 2020
August 24, 2020 — Sending a photo selfie to the doctor could be a cheap and simple way of detecting heart disease usi
aption Health a leader in medical AI technology, has received U.S. Food and Drug Administration (FDA) 510(k) clearance for an updated version of Caption Interpretation, which uses artificial intelligence (AI) to enable clinicians to obtain quick, easy and accurate measurements of cardiac ejection fraction (EF) at the point of care.

Caption Health a leader in medical AI technology, has received U.S. Food and Drug Administration (FDA) 510(k) clearance for an updated version of Caption Interpretation, which uses artificial intelligence (AI) to enable clinicians to obtain quick, easy and accurate measurements of cardiac ejection fraction (EF) at the point of care.

News | Artificial Intelligence | August 19, 2020
August 19, 2020 — Caption Health a leader in medical AI technology, has received U.S.
In February 2020, the U.S. Food and Drug Administration (FDA) cleared artificial intelligence software to assist in the acquisition of cardiac ultrasound images. The Caption Guidance software from Caption Health is an accessory to compatible diagnostic ultrasound systems and uses artificial intelligence to help the user capture images of a patient’s heart that are of acceptable diagnostic quality. It is aimed at point of care ultrasound (POCUS) exams, where users may not be regular sonographers.

In February 2020, the U.S. Food and Drug Administration (FDA) cleared artificial intelligence software to assist in the acquisition of cardiac ultrasound images. The Caption Guidance software from Caption Health is an accessory to compatible diagnostic ultrasound systems and uses artificial intelligence to help the user capture images of a patient’s heart that are of acceptable diagnostic quality. It is aimed at point of care ultrasound (POCUS) exams, where users may not be regular sonographers.

Feature | Artificial Intelligence | August 18, 2020 | Dave Fornell, Editor
The No.
An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

News | Artificial Intelligence | May 26, 2020
May 26, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a governm
A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

News | Artificial Intelligence | May 19, 2020
May 19, 2020 — Artificial inte...
TeraRecon will accelerate innovation in its advanced visualization and AI platforms for image-related decision support to clinical specialists

TeraRecon's End-to-End AI Ecosystem

News | Artificial Intelligence | March 04, 2020
March 4, 2020 — SymphonyAI Group, an operating group of lea
The FDA granted marketing authorization of the Caption Guidance software to Caption Health Inc. in February 2020. It uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

The Caption Guidance software uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

News | Artificial Intelligence | February 13, 2020
February 13, 2020 — The U.S.

GE Healthcare partnered with the AI developer Dia to provide an artificial intelligence algorithm to auto contour and calculate cardiac ejection fraction (EF). The app is now available on the GE Vscan pocket, point-of-care ultrasound (POCUS) system, as seen here displayed at RSNA 2019. Watch a VIDEO demo from RSNA.

Feature | Artificial Intelligence | February 11, 2020 | Sanjay Parekh, Ph.D. 
February 7, 2020 – At the 2019 Radiological Society...