Aidoc, a Tel Aviv-based startup providing software to help radiologists triage scans, closed a $110 million funding round on Thursday. The company will use the money to expand its AI platform and develop care coordination tools for various specialties instead of focusing solely on radiology.
Aidoc, a Tel Aviv-based startup building a suite of decision support tools for radiologists, raised $66 million in funding. The company plans to use the funds to build out and market its suite of radiology solutions.
Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
The regulatory clearance would allow AIdoc’s system to be used to detect incidental pulmonary embolism, meaning that it could flag unsuspected findings in CT scans.
Aidoc received authorization from the Food and Drug Administration to use its algorithms to detect likely Covid-19 cases in CT scans. The FDA issued guidelines allowing vendors with cleared triage solutions to expand their coverage to Covid-19.
Most AI-powered startups in radiology tackle an image problem, but Rad AI have been focused on a workflow problem by automatically generating the impressions section of a radiologist’s report, which is a summary of the report’s other sections.
The regulatory decision comes just a few weeks after the FDA cleared the company's pulmonary embolism product.
At the Abarca Forward conference earlier this year, George Van Antwerp, managing director at Deloitte, discussed how social determinants of health and a personalized member experience can improve medication adherence and health outcomes.
The FDA decision, which builds on a prior approval of the company's algorithm for the detection of intracranial hemorrhages through CT scans, is part of a larger vision sketched out by CEO Elad Walach of plugging new algorithms into the Aidoc system to create a new standard of care in radiology.
Aidoc pitches its product as a way to more quickly scan and detect potential issues in medical images.
The Tel Aviv, Israel-based startup is leveraging artificial intelligence and deep learning to improve the radiology workflow. Its technology pinpoints abnormalities in a medical image.