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LATEST UPDATES » Vol 24, No. 11, November 2020 – Genetic Studies for Diabetes in Asia: The Key to Precision Medicine       » New Leukaemia Vaccine Developed       » Virus-Free Plants, A Mystery Solved       » New Research Methodology for identifying SARS-CoV-2       » New Hope for Detecting Early Stage Pulmonary Hypertension       » Singapore Company Homage Launches Teleconsultation and Mobile Medicine Programme      
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INSIDE INDUSTRY
MedTech Start-up Granted FDA Clearance for Artificial Intelligence Software
See-Mode Technologies announced in early October 2020 that it has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its debut product, Augmented Vascular Analysis (AVA).

MedTech start-up based in both Singapore and Australia, See-Mode Technologies has received FDA clearance for an artificial intelligence software that is able to automatically analyse and report vascular ultrasound scans. The start-up is formed by a team of scientists, engineers, and clinicians looking to tackle one of the leading causes of death in the world, stroke.

Stroke remains a leading cause of death and disability around the world. To help clinicians better predict the risk of stroke and vascular diseases, See-Mode is developing novel solutions to improve the analysis of routinely collected medical images such as ultrasound, CT or MRI scans. By applying artificial intelligence and computational models on these medical images, clinicians are able to obtain stroke risk factors that may not be accessible in current clinical practice.

“Receiving our first FDA clearance is a huge step for us at See-Mode, which demonstrates the strength of the product we have built and the robustness of our approach in running clinical studies,” said Dr Milad Mohammadzadeh, Co-Founder and Director, See-Mode Technologies.

“We are extremely thankful to the outstanding group of clinicians who have worked closely with us to validate our models and build clinical evidence for the regulatory approval of AVA and our future products. Riding on this momentum, we will be ramping up our plans to bring AVA to the U.S. market within the year, to enable clinicians across the U.S. to do their work more efficiently and analyse medical images with a greater control on quality.”

AVA uses deep learning, text recognition, and signal processing technologies to assist clinicians in interpreting and reporting vascular ultrasound studies – typically a manual and error-prone process. With a single click and in less than a minute, AVA can analyse a full vascular ultrasound scan, minimising the need for manual drawings. By significantly reducing the time taken to analyse images and generate reports, See-Mode’s AVA augments the clinical workflow, resulting in greater overall productivity, accuracy and improved patient outcomes.

Aside from AVA, See-Mode has been building two other new products - to detect vulnerable plaque using machine learning and to identify high-risk blood flow using computational modelling. The start-up has completed proof-of-concepts for both products with collaborators in Singapore and Australia, and multi-centre clinical studies are now being conducted with partners across Europe and the United States.

See-Mode will continue to add more image interpretation and reporting capabilities to AVA and is expanding the product’s capabilities to new clinical use cases. AVA has been approved by the Singapore Health Sciences Authority (HSA) as a Class B medical device in late 2019 and is commercially available in Singapore, with ongoing pilots in leading hospitals in Singapore and Australia. See-Mode is presently pending CE approval for AVA in Europe.

 

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