The University of California, Los Angeles (UCLA) School of Dentistry recently announced that it has received a grant from the American Dental Education Association (ADEA) to integrate Pearl Calibrate, an artificial intelligence clinical calibration tool, into its teaching and research programs.
According to the company, this integration will enable UCLA faculty to integrate cutting-edge AI technologies into course content while helping students apply these technologies in actual clinical operations.
Pearl said that the inclusion of Calibrate in UCLA’s teaching and research system marks a new stage in dental education.
This move not only demonstrates the importance of innovative artificial intelligence solutions, but also reflects the common vision of promoting the quality of teaching and patient care. The project is expected to begin to show results later this year.
“We are excited to see UCLA taking a leadership role in advancing AI-driven dental education,” said Ophir Tanz, Founder and CEO of Pearl.
Thanks to ADEA’s funding, faculty and students will have access to a tool designed to improve standardization and consistency in radiology diagnostics. This further highlights the growing impact of artificial intelligence in contemporary dentistry.
Through our collaboration with UCLA, we are taking a step toward a future of dentistry that blends AI and human intelligence to advance care and improve patient outcomes.”
Paul H. Krebsbach, DDS, PhD, Dean of the UCLA School of Dentistry, also noted, “At UCLA, we are committed to adopting innovative technologies that advance our disciplines safely and effectively.
The introduction of this new tool is in line with our strategic vision to leverage advanced digital architecture and prepare students for leadership in modern dental care.
I also recognize Dr. Sanjay Mallya, Chair of our Department of Oral and Maxillofacial Radiology, for his leadership in this project.”
Pearl Calibrate It is a versatile AI tool designed to enhance dental professionals’ ability to evaluate dental X-rays while helping to reduce the subjective differences common in radiological diagnosis.
The platform can serve a variety of institutions, including universities, dental clinics, radiology centers and insurance companies, to ensure consistency in their diagnostic standards.
With its large internal image library and image data upload function, Calibrate can help users develop interpretation standards and evaluation benchmarks that meet their own clinical requirements, truly realizing the parallel development of personalization and standardization.
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