Clinical Research Showing AI Technology’s Worth in Dentistry

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Researcher shows that Denti.AI technology compares favorably with clinical providers in reading x-rays; wins first-place research award.

Artificial Intelligence (AI) technology has been proving its worth in a number of industries and now there’s research to back up claims that it can help with reading x-rays.

Software company Denti.AI just announced that for the first time, The American Academy of Oral and Maxillofacial Radiology (AAOMR) awarded the first-place research award to the researcher who showed that AI technology compares favorably with clinical providers in reading X-rays.

This new clinical research indicates dentists can expect to be better than ever before in catching undiagnosed or overlooked conditions and identifying pathologies thanks to Denti.AI’s radiographic analysis.

The AAOMR awarded the prestigious 2020 Albert G. Richards Graduate Student Research Award to a University of North Carolina Adams School of Dentistry graduate student who showed the artificial intelligence software often accurately identified pathoses missed by board-certified dental experts.


Manal Hamdan, DDS, conducted the study titled “Detecting Apical Radiolucencies Using Deep Learning Technology: A Pilot Study.” She concluded that Denti.AI’s technology 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.

Dr. Don Tyndall, Professor of Oral and Maxillofacial Radiology at the Adams School of Dentistry, says the award-winning research is a great 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.

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 the company’s radiograph analysis, providers can 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.

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 often cannot.