VideoHealth raises $20 million for artificial dental care

Dental start-up VideaHealth with AI has raised $20 million in a Series A funding round led by Spark Capital.

The round included participation from existing investors Zetta Venture Partners and Pillar VC, bringing the company’s total revenue to $26.4 million.

WHAT IT DOES

VideoHealth provides AI-powered tools to dental providers and insurers, including practice management, claims analysis, and diagnostic tools.

The Video Detect software, which uses X-rays to detect dental disease and communicate it to healthcare providers, has not yet been approved by the FDA, but the startup said it expects a green light in the coming months.

“We are on the cusp of a revolution in the dental industry, as evidenced by the caliber of investment partners such as Spark Capital and our industry partnerships with the world’s largest dental suppliers and distributors,” said VideaHealth CEO and Founder Florian Hillen in a statement. statement.

“Our technology is the path to a much-needed system of standardized care. Our entire mission is to help as many dental practices as possible harness the power of AI to better serve their communities and give patients access to more affordable and convenient dental treatments .”

MARKET SNAPSHOT

Another company touting AI-powered dental care and practice management is Overjet, which is a: $42.5 million Series B financing round in December months after it scored $27 million in Series A financing.

Quip, a major player in digital dental care, makes connected care products such as toothbrushes, floss, toothpaste and chewing gum. The company picked up a a whopping $100 million in Series B funding last year.

The use of AI for imaging is also growing in other areas of healthcare. Yesterday, AI-powered radiology company Aidoc announced that it… scored FDA 510(k) approval for its tool for marking and triaging cases of pneumothorax or a collapsed lung on X-ray.

Qure.ai, another startup in the space, got the green light earlier this year for an algorithm that can analyze the position of breathing tubes using chest X-rays.