Presentations show machine learning's potential to detect dental caries

2020 01 16 22 52 5146 Child Caries Tooth Decay 400

Multiple presentations on machine learning and dental caries are being held at the hybrid American Association of Dental, Oral, and Craniofacial Research (AADOCR) annual meeting.

The AADOCR meeting is being held in conjunction with the 46th Annual Meeting of the Canadian Association for Dental Research.

On Saturday, March 26, at 11 a.m. EDT, Chukwuebuka Elozona Ogwo from Temple University in Philadelphia will present a study that shows machine learning's potential in predicting the risk of and identifying the predictors for caries in young adults.

Researchers from the University of Texas Health Science Center will share research on Thursday, March 24, and March 26 at 8 a.m. about machine learning's potential to more accurately diagnose caries based on radiographic images.

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