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.
Just after exiting stealth with $62.5 million in Series A and B financing, Sirona Medical plans to leverage Nines' AI technologies to provide a comprehensive digital solution for radiologists.
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 company makes software to spot diagnostic errors in radiology and route patients to centers of excellence.
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.
In a review of 130 FDA-cleared AI tools, researchers found that the vast majority of them relied on retrospective studies. Most of the developers also didn’t share information on how many sites the algorithms had been tested in, or how they performed in different patient demographics.
The health system and tech giant are more than a year into their 10-year collaboration. As their partnership evolves, the organizations are looking to create an "AI factory" — an assembly line of AI solutions that are developed at scale and incorporated into clinical workflows.
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 startup struck a partnership with Premera Blue Cross to identify radiologists with low rates of misdiagnoses for its Centers of Excellence program. The benefit will be available to Premera’s fully insured members and self-insured companies.
Nines received 510(k) clearance for a system that monitors CT scans for likely cases intracranial hemorrhage and mass effect, two conditions associated with strokes. The system prioritizes these cases for review from radiologists, letting patients receive a diagnosis faster.
Catholic Health Services of Long Island is aiming to deploy an AI algorithm next week to help ER doctors determine whether a patient presenting Covid-19-like symptoms should be admitted to the ER or sent home.
A retrospective study published in Nature shows Google’s DeepMind AI outperformed radiologists in detecting breast cancer. But it won’t be replacing them anytime soon.
We will highlight Build My Health's revenue practice management tools, which could help physician practices add up to $250,000 to their practices.
Nines, a teleradiology company using machine learning to triage important cases, raised a $16.5 million funding round led by Accel and 8VC.
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.
At a time when artificial intelligence is gaining ground in healthcare, especially in radiology, it is important to understand the varied metrics being used to evaluate the technology.
The regulatory decision comes just a few weeks after the FDA cleared the company's pulmonary embolism product.
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.