Dentists could detect far more tooth cavities using the AI system.

VideaHealth, which leverages AI, data, and analytics to improve decision-making and diagnosis for dentists and dental insurers, has secured the approval of the US Food and Drug Administration (FDA) for its new AI-powered cavity detection system. The system serves as a valuable confirmatory tool for dentists. (PC Mag)

VideaHealth: Videa Caries Assist

VideaHealth’s AI-powered dental cavity detection algorithm has received FDA 510(k) clearance. It analyzes a tooth x-ray with reference to the Videa Factory, a dataset of over 100 million data points, that was compiled from dental service organizations, insurance companies, clearinghouses, and universities. This dataset taught the algorithm to recognize different dental conditions and make accurate diagnoses.

Using the system, erroneous detections by dentists declined by 15% according to data from an FDA trial. The number of cavities that dentists missed also fell by 43%.

Furthermore, the trial found that the AI improved dental detection rates, regardless of the length of experience of the dentist.

Videa Caries Assist can be installed in just a few minutes and is compatible with most dental practice management software and X-ray imaging systems.

Series A funding

In March, VideaHealth announced $20 million in Series A financing led by Spark Capital. Existing investors Zetta Venture Partners and Pillar VC also contributed to the round.

The company plans to use the financing to massively expand VideaHealth’s groundbreaking AI-based diagnostics capabilities to dentists, with the goal of being the leading AI solution for more than 6,750 practices by the end of 2023.

“AI diagnostics enable dentists to detect issues early and often, resulting in less invasive care – and reduced out-of-pocket costs,” said Seth A. Gibree, DMD, FAGD, and senior director of Clinical Advocacy at Heartland Dental, at the time. “The impact and potential of companies like VideaHealth on the future of patient care can be exponential.”

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