Connecting the dots towards precision orthodontics.

Area of Science:

• Orthodontics
• Biotechnology
• Artificial Intelligence

Background:

• Precision orthodontics utilizes patient-specific data for tailored diagnosis and treatment.
• Recent advances include 3D imaging, printing, and personalized appliance fabrication.
• Current technologies primarily focus on morphological and positional data.

Purpose of the Study:

• To explore the integration of omics and AI in advancing precision orthodontics.
• To highlight the shift towards biologically informed, individualized treatment strategies.
• To discuss the potential of AI in diagnostic validation and clinical decision-making.

Main Methods:

• Review of technological innovations in orthodontics.
• Discussion of omics (DNA, mRNA, protein analysis) for biological profiling.
• Exploration of artificial intelligence (AI) and machine learning applications.

Main Results:

• Technological advancements have enhanced diagnostic and treatment personalization.
• Omics provide a deeper understanding of individual biological attributes impacting therapy.
• AI is being applied to diagnostics and shows promise for clinical decision support and risk prediction.

Conclusions:

• The synergy between 3D phenotyping, omics, and AI will drive the future of precision orthodontics.
• Integrating biological insights and AI will lead to optimized and predictable orthodontic outcomes.
• This technological and omics era promises a new standard in personalized dental care.