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MedTech Startup See-Mode Technologies Announces CE Mark and Australian TGA Approval for AI-powered Ultrasound Analysis Software

  • Written by PR Newswire
MedTech Startup See-Mode Technologies Announces CE Mark and Australian TGA Approval for AI-powered Ultrasound Analysis Software

SINGAPORE and MELBOURNE, Australia, Feb. 2, 2021 /PRNewswire/ -- See-Mode Technologies[1], a MedTech startup based in Singapore and Australia that seeks to empower clinicians to better predict stroke, today announced that it has received two more regulatory approvals – the CE Mark and Therapeutic Goods Administration (TGA) approval for its debut product, the Augmented Vascular Analysis (AVA) software. AVA uses Artificial Intelligence (AI) to perform automated analysis and reporting of vascular ultrasound scans, enabling clinicians to interpret and report on these scans more efficiently and with higher quality.

See-Mode's AVA received FDA 510(k) clearance in 2020, and was also approved by Singapore's Health Sciences Authority (HSA) as a Class B medical device in 2019. With these four major regulatory approvals – all received within a span of three years from the inception of the company – See-Mode now has a firm foundation to rapidly scale its business across its core markets, namely Australia, Europe, the United States and Singapore.

Despite the importance of ultrasound studies for diagnosis and treatment of patients with vascular conditions, analysis and reporting of these scans are primarily done manually, using pen and paper. Through its use of deep learning, text recognition, and signal processing, AVA improves the speed and quality of the process significantly. With a single click and in less than a minute, AVA can analyse a full vascular ultrasound scan, minimising the need for manual drawings. This helps to augment the clinical workflow, resulting in greater overall productivity, accuracy, and improved patient outcome.

"Since See-Mode's inception, we have seen that clinicians are increasingly looking for ways to speed up their workflow while improving patient care. Thus, we are proud that AVA has obtained CE Mark and TGA approval – on top of the earlier clearances from FDA and HSA – to help with analysis and reporting of vascular studies," said Dr Sadaf Monajemi, Co-Founder and Director, See-Mode Technologies. "Achieving four regulatory approvals as a three-year-old startup was no easy feat. This clearly demonstrates the scientific rigour with which we have built and validated our product and we are extremely thankful to have the support of our clinical partners. Having reached this significant milestone for See-Mode, we look forward to continuing our commercial growth trajectory in Europe and Australia."

See-Mode is continuously adding more image interpretation and reporting capabilities to AVA and expanding the product's capabilities to new clinical use cases. Continuing on its mission to assist doctors in predicting and preventing stroke, See-Mode is currently running clinical validation studies for its future algorithms on the detection of high risk plaques and high risk blood flow with partners across Singapore, Australia, Europe and the United States.

About See-Mode Technologies

See-Mode Technologies is a MedTech startup with a team of scientists, engineers, and clinicians tackling a leading cause of death in the world: stroke. See-Mode applies cutting-edge deep learning and computational modeling techniques on medical images to help doctors predict stroke and decide on the optimal treatment for their patients. See-Mode has offices in Singapore and Australia and is backed by prominent venture capital firms in APAC, including MassMutual Ventures, Blackbird Ventures, Cocoon Capital, and SGInnovate. See-Mode's first product, AVA (Augmented Vascular Analysis) has received FDA 510(k) clearance, CE Marking and is approved by the Australian Therapeutic Goods Administration and Singapore's Health Sciences Authority. The company is currently running clinical studies with major stroke centers and research institutes throughout the world. Learn more at www.see-mode.com[2]

References

  1. ^ See-Mode Technologies (www.see-mode.com)
  2. ^ www.see-mode.com (www.see-mode.com)

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