Funding for medical imaging AI companies tops $1.2B

Companies developing machine-learning solutions for medical imaging have received more than $1.2 billion in capital investments since 2014, according to a report by Signify Research.

Investments in medical imaging AI companies have grown significantly since 2017, when total investments reached $270 million. In 2018, total investments reached $580 million.

More than 120 companies are currently developing machine-learning solutions for medical imaging, and 75 of them entered the market at the start of 2015. Heartflow, a medical technology company focused on cardiovascular disease, received $240 million investments in 2018 and a total of $476.6 million in funding between 2014 to 2018.

Top funded medical imaging AI companies from 2014 to 2018 included:

  • VoxelCould, $80.5 million in funding
  • Infervision, $73.1 million in funding
  • Deepwise, $50.6 million in funding
  • Zebra, $50 million in funding
  • Arterys, $42.5 million in funding

Breast imaging, cardiovascular imaging, general imaging, lung imaging and neurology imaging were the top funded specialties, according to the report.

""

Danielle covers Clinical Innovation & Technology as a senior news writer for TriMed Media. Previously, she worked as a news reporter in northeast Missouri and earned a journalism degree from the University of Illinois at Urbana-Champaign. She's also a huge fan of the Chicago Cubs, Bears and Bulls. 

Around the web

CMS finalized a significant policy change when it increased the Medicare payments hospitals receive for performing CCTA exams. What, exactly, does the update mean for cardiologists, billing specialists and other hospital employees?

Stryker, a global medtech company based out of Michigan, has kicked off 2025 with a bit of excitement. The company says Inari’s peripheral vascular portfolio is highly complementary to its own neurovascular portfolio.

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.