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Can a Computer Identify Carious Lesions as Accurately as a Dentist

Pearl-Second Opinion Study_ADA_7.28.2021

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What's Inside?

The powerful triad of computer vision, artificial intelligence and human clinical expertise is creating new opportunities to improve dental care and access. In this study, levels of diagnostic agreement and disagreement were compared among three experienced dental radiograph readers and a computer vision/machine learning (CV/ML) system for identifying caries.

Download the study to learn how the results validate the diagnostic capabilities of CV/ML systems and explore the ways these systems could help augment the work of dentists by:

  • Improving diagnostic accuracy
  • Reducing costs by enhancing early detection
  • Increasing patient confidence in diagnoses
  • Reducing liability exposure
  • Improving long-term outcomes

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Pearl

Borne by dentists. Built by visionaries.
Pearl was founded on the notion that artificial intelligence can be the dental practitioner’s always-on assistant and the patient’s most trustworthy friend. Its founders have a uniquely personal connection to the dental industry’s intricacies, as well as the knowledge and education to actualize the full and practicable potential that AI has to offer.

Both Ophir and Dr. Stanley grew up with dentist fathers, so concern for oral care has been ingrained in their hearts since childhood. Ophir and Cambron joined forces at digital media company, GumGum, which Ophir founded in 2008, where they spent 10 years applying AI technology to deliver solutions for digital advertising and sports sponsorship. Dr. Stanley, who became a dentist like his father, joined forces with Ophir and Cambron Carter in 2015. Together they set their sights on the next great AI revolution: healthcare. Pearl is the product of their efforts.

Collectively, their vision and experience make them the ideal founders, practitioners and futurists to bring Pearl’s services—delivering better bites, trillions of bytes at a time—to an office near you.