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Nines Radiology Aims to Upend Radiology Using AI, Scores $16.5 Million In Funding

Nines Radiology has raised $ 16.5 million in Series A funding, according to a company press release.

Nines Radiology was founded in 2017 by self-driving-car pioneer David Stavens and NYC radiologist Dr. Alexander Kagen. The unlikely partnership aims to use technology, specifically artificial intelligence (AI), to revolutionize how radiologists interact with patients. In the company’s press release detailing a successful round of funding, the company also unveiled their mission.

“We have a fundamental belief that radiology reimagined with modern data science can significantly improve the lives of patients and clinicians alike,” said co-founder and CEO David Stavens. “We’re working to pioneer new approaches and innovations from clinical care, engineering and data science. Radiologists at Nines are care providers, innovators, builders, and thought leaders. Our radiologists provide the best patient care, while also working with our engineers to build the future.”

The company is betting on the ability of technology and AI to help cut through the complexity modern radiologists face on a day-to-day basis.

“Radiology exams are becoming ever more detailed and complex with advancements in imaging technology, which in turn increases the workload on radiologists,” said Dr. Kagen, who will serve as Chief Medical Officer for Nines in addition to his role at Mount Sinai. “Radiologists need to be at the forefront of reimagining the future of medicine. Nines is a place where radiologists are empowered to build technology that unlocks the next level of patient care.

“The right solution for radiologists is the one that results in the right interpretation. We are combining technology and clinical expertise to help radiologists intelligently prioritize their ever-growing imaging worklists. Nines is designed to help radiologists adapt and build toward a near-term future where technology plays an increasingly larger role in improving patient outcomes.”

Nines Radiology is yet another example of AI and machine learning being used to improve and revolutionize industries.

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