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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
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Artificial intelligence in revolutionizing orthodontic practice.

Paul Fawaz1, Patrick El Sayegh2, Bart Vande Vannet1,3

  • 1Faculty of Dentistry, Department of Orthodontics, University Lorraine, Nancy 54000, France.

World Journal of Methodology
|August 29, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is transforming orthodontics by enhancing diagnosis, treatment planning, and patient care through advanced technologies. Overcoming challenges in data and implementation will unlock AI's full potential in revolutionizing dental practices.

Keywords:
AccuracyArtificial intelligenceChallengesDeep learningDiagnosisEfficiencyFuture directionsMachine learningOrthodonticsPatient managementPersonalized treatmentTreatment planning

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Area of Science:

  • Dentistry
  • Computer Science
  • Medical Technology

Background:

  • Artificial intelligence (AI) is increasingly integrated into orthodontic practice.
  • AI technologies like machine learning and computer vision analyze patient data and assist in diagnosis.

Purpose of the Study:

  • Identify current AI applications in orthodontics.
  • Evaluate the benefits and challenges of AI integration.
  • Project future developments of AI in the field.

Main Methods:

  • Analysis of AI technologies including machine learning, deep learning, natural language processing, computer vision, and robotics.
  • Review of AI's role in analyzing dental imagery, predicting treatment outcomes, and customizing plans.
  • Examination of AI's impact on diagnostic accuracy and patient communication.

Main Results:

  • AI enables precise malocclusion diagnoses and customized treatment plans.
  • AI streamlines image analysis, improves diagnostic accuracy, and enhances patient engagement.
  • Benefits include increased efficiency, accuracy, and personalized care.

Conclusions:

  • AI has the potential to revolutionize orthodontic practices by improving efficiency, precision, and patient outcomes.
  • Addressing challenges related to data quality and algorithm transparency is crucial for successful AI implementation.
  • Collaborative efforts can advance orthodontic care through AI.