Case Study: Adams School of Dentistry improves early childhood caries screening with Google for Education

Using Google’s machine learning tools, UNC team screens for dental disease in young children

The Adams School of Dentistry at the University of North Carolina conducted a major study to understand the factors behind early childhood tooth decay. Their challenge was to analyze a massive dataset with thousands of variables to effectively screen for and predict the disease.

By using Google for Education's Google Cloud and its AutoML Tables product, the team built a custom machine learning model that accurately predicts a child's oral health status. The solution from Google for Education helped develop an easy-to-use web-based screening tool, which won research awards and provides a foundation for the future of precision dentistry and public health analysis.

Adams School of Dentistry

Deepti Karhade

Second-year Resident