AI-enabled imaging company Aidoc raised $ 110 million in a series de-funding round.
The round was led by TCV and Alpha Intelligence Capital, with the participation of AIC co-investor CDIB Capital. The investment, which comes almost a year after the startup announcement The $ 66 million Series C brings Aidoc’s funding to $ 250 million.
What does this mean?
Aidoc provides tools that help radiologists diagnose and treat injuries and health conditions based on imaging results. It provides coordination software for stroke and cardiovascular care, alerts relevant members of the care team and shares data and images.
Startup got one Many of the FDA 510 (K) clearances aim to detect possible brain aneurysms, including software, and flag X-rays of pneumothorax or collapsed lungs on CT scans.
Aidoc says the Series D investment will finance the expansion of its AI Care platform, which includes its identification and triage tools, as well as its care coordination software.
CEO Elad Wallach said in a statement: “We are building on the breadth and depth of AI that allows hospitals to fundamentally change the way they do business and provide the solutions they need to compete successfully in these challenging times.”
“… With this new round of investment, our goal is to ramp up our AI care platform to cover both the hospital’s diverse medical service lines and the depth of integration into clinical workflows, empowering hospitals to enable cross-specialty care teams and patients. Provides the best quality care in a measurable, efficient way. “
Snapshots of the market
Aidoc is not alone in AI-powered radiology. Recently RapidAI A product has received FDA clearance that identifies potential cases of central pulmonary embolism and caution.
In March, the French company Gleamer Announced a 510 (k) for his tool, aimed at finding fractures on X-rays. The company recently partnered with Aidoc to integrate BoneView software into Aidoc’s platform. Others in space include Nanox, Qure.ai and Viz.ai.
Published in recent research The Lancet Digital Health Has raised some concerns about AI and imaging. An algorithm used to detect hip fractures in a study surpassed that of human radiologists, but also mentioned some barriers that would prevent safe use, such as the occasional unexpected error a person cannot make.
Another study found that a deeper learning model could predict races from imaging results, which researchers were concerned could perpetuate health inequalities.