Pearl and Planmeca partner to bring enhanced AI-based image analysis services to Planmeca Romexis users
Pearl, the global leader in dental AI solutions, and Planmeca, the world’s largest privately-owned dental equipment manufacturer, announced plans to integrate Pearl’s Second Opinion disease detection capabilities within Planmeca’s robust imaging software platform, Planmeca Romexis.
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“AI is primed to revolutionize the global dentistry market, and together with Planmeca Romexis®, we’re expanding access to the powerful capabilities of this technology”
“AI is primed to revolutionize the global dentistry market, and together with Planmeca Romexis®, we’re expanding access to the powerful capabilities of this technology,” said Ophir Tanz, founder and CEO of Pearl. “Our partnership with Planmeca will seamlessly integrate Second Opinion® into one of the most popular, powerful and technologically advanced imaging platforms in dentistry, streamlining clinical efficiencies and steering the industry towards a fully AI-powered future.”
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Second Opinion® is the first-and-only chairside AI software with global regulatory clearances to assist dentists in the detection of numerous common conditions in bitewing, periapical and panoramic x-rays of adult teeth in patients as young as 12 years old. For Romexis users, Second Opinion® software will provide AI evaluations of 2D intraoral X-ray images directly within the Romexis platform, facilitating streamlined patient communication, enhanced diagnostic capabilities and a higher standard of dental care delivery. The integration will be available for Romexis users around the world soon.
“We are deeply committed to delivering the most advanced capabilities in digital imaging to dental clinics of all sizes and specialties,” said Helianna Puhlin-Nurminen, Vice President of Digital Imaging and Applications at Planmeca. “This collaboration with Pearl will further augment diagnostic consistency, accuracy and transparency in dental care, equipping Romexis users with the most advanced pathology detection and patient communication technology.”
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