RNS Reach Story
Go to market news section
Intelligent Ultrasnd - MED
ISO13485 certification for medical devices
Released 07:00 04-Mar-2020



RNS Number : 8800E
Intelligent Ultrasound Group PLC
04 March 2020

Intelligent Ultrasound Group plc

('Intelligent Ultrasound' or the 'Group')

ISO13485 certification for medical devices

Intelligent Ultrasound Group plc (AIM: MED) the ultrasound artificial intelligence (AI) software and simulation company, announcesithas formally received ISO13485:2016 certification for its Quality Management System following review by the certification body LRQA. ISO13485:2016 is the internationally recognised quality standard to ensure the consistent design, development, production, installation and sale of medical devices that are safe for their intended purposes.

The Group's Clinical AI division is in the process of bringing a range of AI-based image analysis software products to market and obtaining ISO13485:2016 certification is required to bring the Group's real-time AI image guidance software products through regulatory approval.

Stuart Gall, Group CEO, commented: 'With our first major AI licensing agreement signed last year and commercial discussions progressing for our second AI software product, this is an important milestone for the Group as we look to bring the first Intelligent Ultrasound AI products to market in 2020.'

Enquiries:

Intelligent Ultrasound Group plc

www.intelligentultrasound.com

Stuart Gall, CEO
Helen Jones, Group Finance Director

Tel: +44 (0)29 2075 6534

Walbrook PR

Tel: +44 (0)20 7933 8780 or intelligentultrasound@walbrookpr.com

Anna Dunphy / Paul McManus

Mob: +44 (0)7876 741 001 / Mob: +44 (0)7980 541 893

About Intelligent Ultrasound Group

Intelligent Ultrasound (AIM: MED) develops artificial intelligence-based clinical image analysis software tools for the diagnostic medical ultrasound market and hi-fidelity virtual reality simulators for the ultrasound training market.


Based in Cardiff and Oxford in the UK, Atlanta in the US and with representation in Beijing in Asia, the Group operates two divisions:


Clinical AI Division

Focusses on developing deep learning-based algorithms to make ultrasound machines smarter and more accessible. Products in development include ScanNav which uses machine-learning based algorithms to automatically identify and grade ultrasound images to provide scan assessment and audit of protocol-based ultrasound scanning in fetal medicine; and AnatomyGuide, which aims to simplify ultrasound-guided needling by providing the user with real-time AI-based needle guidance software for a range of medical procedures.

Simulation Division

Focusses on hi-fidelity ultrasound education and training through simulation. Its three main products are the ScanTrainer OBGYN training simulator, the HeartWorks echocardiography training simulator and the BodyWorks Eve Point of Care and Emergency Medicine training simulator. To date over 850 simulators have been sold to over 500 medical institutions around the world.

www.intelligentultrasoundgroup.com


This information is provided by RNS, the news service of the London Stock Exchange. RNS is approved by the Financial Conduct Authority to act as a Primary Information Provider in the United Kingdom. Terms and conditions relating to the use and distribution of this information may apply. For further information, please contact rns@lseg.com or visit www.rns.com.
END
NRAKKNBQNBKDQNK
London Stock Exchange plc is not responsible for and does not check content on this Website. Website users are responsible for checking content. Any news item (including any prospectus) which is addressed solely to the persons and countries specified therein should not be relied upon other than by such persons and/or outside the specified countries. Terms and conditions, including restrictions on use and distribution apply.
©2014London Stock Exchange plc. All rights reserved



ISO13485 certification for medical devices - RNS

Attachments

  • Original document
  • Permalink

Disclaimer

MedaPhor Group plc published this content on 04 March 2020 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 04 March 2020 07:03:01 UTC