News | Ultrasound Imaging | December 09, 2019

DiA Joins with IBM Watson Health to Arm Clinicians with its AI-powered Cardiac Ultrasound Software

DiA’s novel solution leverages AI to transform the way clinicians capture and analyze ultrasound images. By adding DiA to its AI Marketplace, IBM Watson Health will offer clinicians access to objective and accurate ultrasound analysis

DiA’s novel solution leverages AI to transform the way clinicians capture and analyze ultrasound images

December 9, 2019 —  DiA Imaging Analysis Ltd., an IBM Alpha Zone Accelerator Alumni Startup, announces a collaboration with IBM Watson Health, a leading provider of innovative AI, enterprise imaging, and interoperability solutions used by medical professionals worldwide. The IBM Imaging AI Marketplace will offer DiA’s FDA-cleared, AI-powered cardiac ultrasound software, designed to assist clinicians to analyze cardiac ultrasound images automatically.

Analyzing ultrasound images is often a visual process that can be challenging and highly dependent on user experience. DiA’s solutions address this challenge by assisting clinicians to objectively and accurately analyze ultrasound images, reducing the subjectivity associated with visual interpretation.

With the launch of the IBM Imaging AI Marketplace, IBM will be introducing DiA’s LVivo EF solution, one of several cardiology and general imaging AI solutions that the company has developed.  DiA’s LVivo EF application offers clinicians an AI-based quantification solution that will provide automated clinical data such as Ejection Fraction (EF) and Global Longitudinal Strain (GLS). The company anticipates adding additional solutions to the Marketplace in the near future.  

“IBM Watson Health is proud to announce a collaboration with DiA Imaging,” said Anne Le Grand, General Manager, Imaging, Life Sciences and Oncology, IBM Watson Health. “DiA’s innovative AI-powered offerings can provide our clients with the ability to analyze images with advanced AI-based solutions which can support IBM Watson Health’s mission to help build smarter health ecosystems.”

“Our collaboration with IBM Watson Health demonstrates the implementation of DiA’s vision to make the analysis of ultrasound images smarter and accessible to clinicians with various levels of experience, on any platform,” said Hila Goldman-Aslan, CEO and Co- Founder of DiA Imaging Analysis. “We are proud to offer our cross-platform, vendor-neutral solutions to healthcare providers in the IBM Watson Health’s ecosystem, leading the change to help transform ultrasound analysis with AI.”

DiA demonstrated its full suite of LVivo and additional solutions during the Radiological Society of North America’s (RSNA) 2019 annual meeting in Chicago. DiA’s AI was highlighted and demonstrated at the IBM Watson Health Booth.

For more information: www.dia-analysis.com

Related Content

AIR Recon DL delivers shorter scans and better image quality (Photo: Business Wire)

AIR Recon DL delivers shorter scans and better image quality (Photo: Business Wire).

News | Artificial Intelligence | May 29, 2020
May 29, 2020 — GE Healthcare announced U.S.
Largest case series (n=30) to date yields high frequency (77%) of negative chest CT findings among pediatric patients (10 months-18 years) with COVID-19, while also suggesting common findings in subset of children with positive CT findings

A and B, Unenhanced chest CT scans show minimal GGOs (right lower and left upper lobes) (arrows) and no consolidation. Only two lobes were affected, and CT findings were assigned CT severity score of 2. Image courtesy of American Journal of Roentgenology (AJR)

News | Coronavirus (COVID-19) | May 29, 2020
May 29, 2020 — An investigation published open-access in the ...
United Imaging's uMR OMEGA is designed to provide greater access to magnetic resonance imaging (MRI) with the world’s first ultra-wide 75-cm bore 3T MRI.
News | Magnetic Resonance Imaging (MRI) | May 27, 2020
May 27, 2020 — United Imaging's...
There were several new developments in digital radiography (DR) technology at the 2019 Radiological Society of North America (RSNA) annual meeting. These trends included integration of artificial intelligence (AI) auto detection technologies, more durable glassless detector plates, and technologies to pull more diagnostic data out of X-ray imaging. Some vendors also have redesigned their DR systems to make them more user-friendly and ergonomic. 
Feature | Digital Radiography (DR) | May 26, 2020 | By Dave Fornell
There were several new developments in digital rad...
The Philips Lumify point-of-care ultrasound (POCUS) system assessing a patient in the emergency room combined with telehealth to enable real-time collaboration with other physicians.

The Philips Lumify point-of-care ultrasound (POCUS) system assessing a patient in the emergency room combined with telehealth to enable real-time collaboration with other physicians.

News | Coronavirus (COVID-19) | May 26, 2020
May 26, 2020  — Philips Healthcare recently received 510(k) clearance from the U.S.
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. Photo by Dave Fornell.

News | Ultrasound Imaging | May 26, 2020
May 12, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a governm
Butterfly iQ devices provide revolutionary portable ultrasound capabilities for faster and easier screening and monitoring
News | Coronavirus (COVID-19) | May 20, 2020
May 20, 2020 —Atrium Health is one of the first major health systems in the nation to put into wide practice a new...
The Breast Imaging and Reporting System (BI-RADS) was established by the American College of Radiology to help classify findings on mammography. Findings are classified based on the risk of breast cancer, with a BI-RADS 2 lesion being benign, or not cancerous, and BI-RADS 6 representing a lesion that is biopsy-proven to be malignant.

Getty Images

News | Breast Imaging | May 19, 2020
May 19, 2020 — Women with mammographically detected breast lesions that are probably benign should have follow-up sur