Clinical research shows that artificial intelligence technology compares favorably with providers in reading X-rays.

The American Academy of Oral and Maxillofacial Radiology (AAOMR) presented the 2020 Albert G. Richards Graduate Student Research Award to Manal Hamdan, DDS, a University of North Carolina (UNC) Adams School of Dentistry graduate student who showed the artificial intelligence in Denti.AI’s technology often accurately identified pathoses missed by board-certified dental professionals.

Manal Hamdan, DDS, UNC

Hamdan conducted the study titled “Detecting Apical Radiolucencies Using Deep Learning Technology: A Pilot Study.” She concluded that the software solution had comparable or improved results, and the artificial intelligence tool has the potential to reduce provider fatigue and diagnostic errors. Her poster, on the same research, won first prize for the best scientific poster at the AAOMR annual session.

Don Tyndall, DDS, PhD, professor of oral and maxillofacial radiology at  the Adams School of Dentistry, stated “Dr Hamdan’s research is an excellent example of university and business collaboration utilizing experts in radiology, deep learning and statistical analysis to produce clinically relevant and potentially game changing results validating software that can elevate patient care.”

“Our team at Denti.AI is committed to being at the forefront of implementing artificial intelligence into clinical practices through rigorous academic validation and collaboration with leading academic institutions,” said Dmitry Tuzoff, founder and chief executive officer of Denti.AI.

This is the second academic award the company’s product has received this year. The University of Louisville awarded first prize to a separate clinical study featuring Denti.AI’s technology.

With Denti.AI’s radiograph analysis, dental providers will catch more pathologies and help patients better understand the need for treatment to increase both quality of care and case acceptance. Denti.AI’s cloud-based software centralizes the clinical data into its analytics platform, which makes it easy to see business performance in relation to hard clinical data. Plus, its patent-pending auto-charting technology incorporates the radiographs directly into the clinical workflow which improves operational efficiency.

According to the company, the AI-powered medical imaging technology enables dental practices to gain profitability, speed and quality. With Denti.AI, it only takes several seconds to interpret a series of intraoral x-rays or a panoramic image and produce a complete dental chart. Based on the experience of professional radiologists who participated in the training of the algorithms, Denti.AI looks to find what the naked eye of dental professionals often cannot.