AISAP raises $13 million
AI-powered ultrasound diagnosis platform AISAP has secured $13 million in a Seed round of funding led by Harel Insurance and Shoni Top Ventures.
AISAP’s POCAD™ solution provides AI-powered diagnoses – including a unique “urgency score” that enables medical providers to prioritize cases based on the severity of the condition; a score that measures the quality of the scan for operators, to ensure accuracy even if they are less familiar with traditional ultrasound devices; and Deep Learning AI capabilities that enable accurate readings even with lower-quality images from handheld machines. Unlike most other POCUS devices, AISAP’s POCAD™ solution can even provide detailed, accurate diagnoses of specific valves within the cardiovascular systems. And while the average ultrasound takes weeks on average to provide a full analysis and diagnosis, AISAP’s solution does so in ~5 minutes.
AISAP’s algorithms have been trained on more than 300,000 studies comprising over 24 million video clips, and the technology has been validated by a range of medical experts from The Mayo Clinic, Inova Health Foundation, Jefferson Health, Poriya Institute and more.
“Obtaining an accurate ultrasound diagnosis in time can literally be the difference between life and death, so the fact that so many patients are forced to wait up to a month for one is nothing short of a global health crisis. This problem is particularly acute in rural areas or those with fewer resources, and therefore disproportionately impacts disadvantaged populations.” – AISAP CEO Roni Attali.
“It’s hard to overstate the potential impact of AISAP’s solution. The ability to provide critical diagnoses anywhere, anytime, without the need for a dedicated expert, is a paradigm shift that could save countless lives. That was reason enough for me to make AISAP’s mission my own, and this investment is a crucial milestone in achieving this lofty goal.” – Tamir Pardo, a former head of Israel’s Mossad covert intelligence agency who today heads AISAP’s Strategic Board.
