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Standardised Tool for the Assessment of Bruxism.

Manfredini DanieleJari AhlbergGhizlane AarabSteven BenderAlessandro BracciPeter A CistulliPaulo César Rodrigues ContiReny De LeeuwJustin DurhamAlona Emodi-PerlmamDominik EttlinLuigi M GalloBirgitta Häggmän-HenriksonChrister HublinTakafumi KatoGary D KlasserMichail KoutrisGilles J LavigneDaniel PaesaniIngrid PerozPeter SvenssonPeter WetselaarLobbezoo Frank
Published in: Journal of oral rehabilitation (2023)
The instrument is now ready for on-field testing and further refinement. It can be anticipated that it will help in collecting data on bruxism in such a comprehensive way to have an impact on several clinical and research fields.
Keyphrases
  • electronic health record
  • patient reported outcomes
  • data analysis
  • deep learning
  • artificial intelligence