Journal of the California Dental Association · 2023 · 22 citations · 25 references
DentistryComputer ScienceEndodonticsArtificial IntelligenceEndodontic DiagnosisRoot Canal TherapyDental AnatomyEndodontic TherapyRoot Canal Morphology AssessmentRoot Fracture DetectionTreatment Outcome EvaluationWorking Length DeterminationArtificial Intelligence-assisted DiagnosisDental Root Canal AnatomyEndodontic Outcome AssessmentEndodontic Outcome PredictionEndodontic Treatment Outcome AssessmentEndodontic Treatment PlanningOutcome PredictionPredictors Of Treatment Outcome
Background In recent years, with advancements in science and technology, artificial intelligence (AI) has been gaining more relevance in the field of dentistry in general, as well as endodontics. AI-guided algorithms have a great potential to better diagnose, treatment plan, and execute endodontic treatments, as well as outcome prediction of the various endodontic treatments. A review of literature was conducted to assess the application of AI in the field of endodontics.Results AI has been used in a variety of clinical applications including the assessment of root canal anatomy, working length, presence of root fractures, and outcome prediction.Conclusion Within the field of endodontics, AI has already been proven to be useful. The evolution of this technology and its continuous application can positively impact the field of endodontics and assist in preserving the natural dentition. Clinical implications: AI is currently being used for specific endodontic applications and possible potential applications in the future horizon.
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Factors affecting the long-term results of endodontic treatment
U. Sjögren, Björn Hägglund, Göran Sundqvist et al. · Journal of Endodontics · 1990 · 1.8K citations
Deep Learning for the Radiographic Detection of Apical Lesions
Thomas Ekert, Joachim Krois, Leonie Meinhold et al. · Journal of Endodontics · 2019 · 371 citations