Pearl introduces Scan Clarity Score

AI dental company Pearl introduced its Scan Clarity Score, a product that addresses the inefficient and expensive process of working with poor quality intraoral scans for dental restorations, the company said in a statement.


The dental process can seem to move at a sluggish pace for patients who are getting crowns, implants or other restorative products. The quality of dental scans can hinder the process due to a myriad of issues, including a lack of a visible margin, missing contact points, or defects in the scan itself. The costly duplications can lead to additional mistakes and waste administrative time for the practice and the dental lab.


Pearl’s Scan Clarity Score allows dental labs to score and bucket each patient scan based on margin clarity, the company’s statement said. If the scan is not of high enough quality, the margin is automatically marked and sent on for crown design. If the margin clarity score is low, it’s flagged for human intervention and/or for a call to be placed by the dentist. By systematically processing the quality of margins, dental labs, dentists, and-most importantly-patients benefit from higher quality dental restorations, Pearl said.


One of the country’s largest and oldest dental labs, Paramount Dental Studio, was announced as a pilot customer of the Scan Clarity Score.


"One of the trickiest aspects of incorporating AI into our business is finding datasets large enough. Predictive modeling simply falls short if there is not enough data," said Philip Kim, Paramount Dental Studio. "Pearl clearly has a big head start with its dataset, the size of which was one of the reasons we developed so much confidence in their margin scoring ability. We're looking forward to continuing to integrate Pearl AI and computer vision into our business."


Artificial intelligence deploys a combination of computer vision (the processing and understanding of digital imagery), machine learning (data-driven algorithms that enable computers to learn underlying patterns about the data they process), and predictive analytics (statistical modeling used to find or forecast patterns and outcomes). Pearl trained its AI platform on millions of images annotated by leading global experts in dentistry and uses computer vision and machine learning to identify dozens of pathologies with greater accuracy. Pearl's Scan Clarity Score is the latest product from the company to alter the dental care landscape, the statement read.


"After seeing strong interest in our Smart Margin product, the launch of Scan Clarity Score is a natural next step, with strong applicability to the dental laboratory market," said Ophir Tanz, CEO, Pearl. "The cost and efficiency savings enabled by Scan Clarity Score also underscore the big potential AI has for dental laboratories. We look forward to continuing to roll out new AI and computer vision features for dental providers, DSOs, dental insurers and dental laboratories alike."


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