Radiology AI startup launches with funding led by Google’s AI venture fund

Rad AI, a developer of machine learning tools automating repetitive tasks for radiologists to reduce burnout and improve the speed and accuracy of their diagnoses, launched Nov. 25 with $4 million in seed funding, led by Google's Gradient Ventures.

The company's first AI solution automatically generates the impression section of radiology reports in each radiologist's preferred language. Early users have experienced reductions in burnout, error rates and turnaround time, according to a news release.

"The team at Rad AI is uniquely suited to apply innovative technology to this field, with strong radiology and AI experts and firsthand knowledge of this market. It's exciting to see the quantitative benefits and positive feedback from their radiology customers, and we're looking forward to the impact of their future products," Zachary Bratun-Glennon, partner at Gradient Ventures, said in the release. Gradient Ventures is Google's AI-focused investment fund.

More articles on AI:
Texas Medical Center- and Stanford-backed AI startup raises $17M
Human-AI collaboration more effective than either working alone: Stanford study
AI predicts seizures 1 hour before onset with 99.6% accuracy, study finds

© Copyright ASC COMMUNICATIONS 2019. Interested in LINKING to or REPRINTING this content? View our policies by clicking here.

 

Top 40 Articles from the Past 6 Months