17:00 Mon 23 Sep 2019
Intelligent Ultrasnd - Ultrasound AI database exceeds four million images
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Ultrasound AI database exceeds four million images
The continued growth of the Group's image database is an important component of the Company's strategy, as the image library will help it develop additional AI-based software solutions that can automatically recognise and assess ultrasound images to improve the speed and quality of medical ultrasound scanning across a number of clinical applications.
In
The Group's range of AI-based software aims to boost scanning quality and to streamline sonographer workflow in medical ultrasound areas such as anaesthesiology, obstetrics, gynaecology, radiology and primary care medicine.
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About
Based in
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; and ScanNav 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
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