Pearl, the global leader in dental AI solutions, today announced Calibrate, the first AI-powered clinical calibration and training tool for providers, educators, and payors. This multi-purpose tool will help a broad range of users hone their dental X-ray evaluation skills and overcome the inconsistency endemic to diagnostic radiology in dentistry. Both the University of California, Los Angeles, and the University of the Pacific, Arthur A. Dugoni School of Dentistry, have received American Dental Education Association (ADEA) grants to use Calibrate in their research, which will culminate in Q2 2025.
Calibrate assures consistency in critical oral health-related functions, including detection, diagnosis, treatment planning, and insurance claim submissions. With an extensive library of imagery to choose from and the ability to upload unique imagery, dental stakeholders can standardize interpretation and customize benchmarks.
“Pearl has been dentistry’s AI-powered radiologic pathology detection and case presentation leader since we received FDA clearance in 2022—and, as adoption accelerates, it has become increasingly clear just how much our underlying data sets can benefit other areas of dentistry,” said Pearl founder and CEO, Ophir Tanz. “Facilitating radiologic training and clinical alignment across the category—from care providers to educators and researchers, and from DSOs to payors—Calibrate extends our commitment to driving better outcomes for patients and enhancing trust in our industry.”
For all dental stakeholders, Calibrate benefits the industry by:
- Standardizing clinical performance across teams: Calibrate trains dentists on pathology detection performance, ensuring consistency in diagnosis and treatment planning across large clinics and groups.
- Reducing liability and strengthening patient care: Demonstrating that all clinicians meet a standardized clinical threshold minimizes risk and enhances patient care, creating a safer, more reliable brand experience.
- Improving X-ray capture quality: Evaluating X-ray quality and identifying variance in image quality across the organization facilitates staff training on taking the most diagnostically useful images possible.
- Supporting dental education and accreditation: Academic institutions can ensure that faculty meet accreditation requirements, train students in AI-aided pathology detection, and support radiologic research.
- Enhancing recruitment and validation of candidates: Assessing candidates’ clinical skills during the hiring process ensures that new hires align with the organization’s diagnostic standards.
“Dentistry has traditionally been seen as a fairly subjective practice, and Calibrate helps to change that perception,” stated Tanz. “By elevating the standards against which care is provided, students are measured, and claims are adjudicated, Pearl is advancing its mission to foster clinical excellence, patient trust, and ongoing industry growth.”
For more information on Calibrate, please visit: https://pages.hellopearl.com/calibrate
About Pearl
Pearl is an AI-driven company committed to enhancing patient care in dentistry. Founded in 2019 by a team with decades of experience developing successful, enterprise-grade computer vision solutions, Pearl introduced the first-ever FDA-cleared AI capable of reading and instantly identifying diseases in dental X-rays. With regulatory clearance in 120 countries, Pearl’s AI assists dentists in making precise clinical decisions and effectively communicating with patients, thereby transforming the dental care experience worldwide. As dentistry’s global AI leader, Pearl is committed to the ongoing innovation of robust, accessible AI tools that improve patient health outcomes and build greater trust in dental medicine.
To request a demo, please visit hellopearl.com/demo.
