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Artificial Intelligence and Its Application in Endodontics.

Frank C Setzer1

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PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) offers transformative potential in endodontics for disease detection and treatment support. Challenges like the black-box phenomenon must be addressed for widespread dental adoption.

Keywords:
Decision-makingDeep learningDiagnostic systemsEducationMachine learningRoot canal treatmentTreatment planning

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Area of Science:

  • Dentistry
  • Endodontics
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is emerging as a transformative technology in endodontics.
  • Recent AI advancements focus on enhancing the detection and classification of anatomical structures and endodontic diseases, including periapical lesions and fractures.

Purpose of the Study:

  • To review the potential applications of AI in endodontics.
  • To address the challenges and concerns associated with AI implementation from a practicing dentist's viewpoint.

Main Methods:

  • Literature review of current AI applications in endodontics.
  • Analysis of AI's role in clinical decision-making, treatment support, and real-time guidance.
  • Discussion of challenges such as the black-box phenomenon, domain shift, and data acquisition.

Main Results:

  • AI can significantly improve diagnostic accuracy and treatment planning in endodontics.
  • AI tools offer potential for enhanced decision-making and real-time clinical guidance.
  • Several challenges impede the mainstream adoption of AI in dental practice.

Conclusions:

  • AI holds significant promise for revolutionizing endodontic practice.
  • Addressing current limitations is crucial for successful AI integration in dentistry.
  • A dentist-centric perspective is essential for evaluating and implementing AI technologies.