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Artificial intelligence (AI) can enhance endodontic diagnosis by detecting pathologies like periapical lesions and fractures. AI also aids in differential diagnosis, improving patient treatment outcomes.

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Area of Science:

  • Dentistry
  • Endodontics
  • Artificial Intelligence

Background:

  • Accurate diagnosis is crucial for effective endodontic treatment.
  • Current diagnostic methods include clinical and radiographic examinations.
  • Limitations exist in diagnosing complex endodontic conditions.

Purpose of the Study:

  • To explore the application of artificial intelligence (AI) in endodontic diagnosis.
  • To discuss AI's role in detecting periapical lesions, fractures, and other dental defects.
  • To review advancements in differential diagnosis and existing AI tools in dentistry.

Main Methods:

  • Review of current literature on AI in endodontics.
  • Discussion of AI algorithms for image analysis (lesion detection, fracture identification).
  • Analysis of AI's integration with patient-reported data and diagnostic questionnaires.

Main Results:

  • AI demonstrates potential in accurately identifying endodontic pathologies from radiographic images.
  • AI can assist in differential diagnosis by integrating diverse patient data.
  • Several AI-powered diagnostic tools are emerging in the dental market.

Conclusions:

  • AI offers significant potential to improve the accuracy and efficiency of endodontic diagnosis.
  • AI applications can aid clinicians in detecting subtle pathologies and refining differential diagnoses.
  • The integration of AI is poised to advance the field of endodontic diagnostics.