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Sydnee SpectorFollow
Sam SchlaudFollow

Description

Machine Learning (ML) has great potential to assist dental professionals with diagnosing and predicting outcomes of oral health. Tooth decay in children is the most common chronic childhood disease and it can be prevented by early detection. We aimed to provide a map of the current evidence on machine learning (ML) in child oral health and provide insight for future research.

Disciplines

Dentistry | Pediatric Dentistry and Pedodontics

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Machine Learning for Child Oral Health: An Scoping Review

Machine Learning (ML) has great potential to assist dental professionals with diagnosing and predicting outcomes of oral health. Tooth decay in children is the most common chronic childhood disease and it can be prevented by early detection. We aimed to provide a map of the current evidence on machine learning (ML) in child oral health and provide insight for future research.