Orthodontics in the era of big data analytics.

The objective of this report was to provide an overview of the current landscape of big data analytics in the healthcare sector, introduce various approaches of machine learning and discuss potential implications in the field of orthodontics. With the increasing availability of data from various sources, the traditional analytical methods may not be conducive anymore for examining clinical outcomes. Machine-learning approaches, which are algorithms trained to identify patterns in large data sets, are ideally suited to facilitate data-driven decision making.

The Relationship between Caries and Malocclusion in Chinese Migrant Workers' Children in Shanghai.

Objective: To evaluate the relationship between caries and malocclusion in the early and late mixed dentition in a population of children of Chinese migrant workers in Shanghai.

Methods: Dental charts were obtained for 646 children in the mixed dentition, aged between 6 and 13 years old. The decayed, missing, and filled teeth (DMFT) index and interproximal tooth structure lost due to caries (ITSLC) were evaluated.