Connecting the dots towards precision orthodontics.

Orthod Craniofac Res

Department of Developmental Biology, Harvard School of Dental Medicine, Boston, Massachusetts, USA.

Published: December 2023

AI Article Synopsis

  • Precision orthodontics focuses on tailoring treatment to individual patients using their unique biological, clinical, and social factors, along with advanced technologies.
  • Technological advancements over the past 30 years, such as 3D imaging and custom device fabrication, have significantly enhanced diagnosis and treatment personalization, while current practices mainly concentrate on facial features and tooth alignment.
  • Future developments will likely integrate comprehensive biological analyses (omics) and AI, improving diagnosis, treatment planning, and overall patient outcomes in orthodontics.

Article Abstract

Precision orthodontics entails the use of personalized clinical, biological, social and environmental knowledge of each patient for deep individualized clinical phenotyping and diagnosis combined with the delivery of care using advanced customized devices, technologies and biologics. From its historical origins as a mechanotherapy and materials driven profession, the most recent advances in orthodontics in the past three decades have been propelled by technological innovations including volumetric and surface 3D imaging and printing, advances in software that facilitate the derivation of diagnostic details, enhanced personalization of treatment plans and fabrication of custom appliances. Still, the use of these diagnostic and therapeutic technologies is largely phenotype driven, focusing mainly on facial/skeletal morphology and tooth positions. Future advances in orthodontics will involve comprehensive understanding of an individual's biology through omics, a field of biology that involves large-scale rapid analyses of DNA, mRNA, proteins and other biological regulators from a cell, tissue or organism. Such understanding will define individual biological attributes that will impact diagnosis, treatment decisions, risk assessment and prognostics of therapy. Equally important are the advances in artificial intelligence (AI) and machine learning, and its applications in orthodontics. AI is already being used to perform validation of approaches for diagnostic purposes such as landmark identification, cephalometric tracings, diagnosis of pathologies and facial phenotyping from radiographs and/or photographs. Other areas for future discoveries and utilization of AI will include clinical decision support, precision orthodontics, payer decisions and risk prediction. The synergies between deep 3D phenotyping and advances in materials, omics and AI will propel the technological and omics era towards achieving the goal of delivering optimized and predictable precision orthodontics.

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Source
http://dx.doi.org/10.1111/ocr.12725DOI Listing

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