Israel-based AI healthtech company, DiA Imaging Analysis, which is using deep learning and machine learning to automate analysis of ultrasound scans, has closed a $14 million Series B round of funding.
Backers in the growth round, which comes three years after DiA last raised, include new investors Alchimia Ventures, Downing Ventures, ICON Fund, Philips and XTX Ventures — with existing investors also participating including CE Ventures, Connecticut Innovations, Defta Partners, Mindset Ventures, and Dr Shmuel Cabilly. In total, it’s taken in $25M to date.
The latest financing will go on expanding its product range and going after new and expanded partnerships with ultrasound vendors, PACS/Healthcare IT companies, resellers, and distributors while continuing to build out its presence across three regional markets.
The healthtech company sells AI-powered support software to clinicians and healthcare professionals to help them capture and analyze ultrasound imagery — a process which, when done manually, requires human expertise to visually interpret scan data. So DiA touts its AI technology as “taking the subjectivity out of the manual and visual estimation processes being performed today”.
It has trained AIs to assess ultrasound imagery so as to automatically hone in on key details or identify abnormalities — offering a range of products targeted at different clinical requirements associated with ultrasound analysis, including several focused on the heart (where its software can, for example, be used to measure and analyze aspects like ejection fraction; right ventricle size and function; plus perform detection assistance for coronary disease, among other offerings).