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Explainable artificial intelligence in endodontics: Concepts, clinical applications, and future directions.
Mohammed Turky1, Lakshman Samaranayake2, Thanaphum Osathanon3
1Department of Endodontics, Faculty of Dentistry, Minia University, Minia, Egypt; Department of Endodontics, Faculty of Dentistry, Sphinx University, Assiut, Egypt.
Journal of Dentistry
|May 5, 2026
Summary
Explainable artificial intelligence (XAI) is crucial for adopting AI in endodontics. This review explores XAI
Area of Science:
- * Dental Informatics
- * Artificial Intelligence in Medicine
- * Clinical Decision Support Systems
Background:
- * The
- * Explainable artificial intelligence (XAI) offers a solution by enhancing transparency and interpretability in AI algorithms.
- * Limited research currently exists on XAI's specific applications and impact within endodontics.
Purpose of the Study:
- * To review the evolving role of XAI in clinical practice.
- * To evaluate current and prospective applications of XAI in endodontics.
- * To identify the challenges and future directions for XAI in endodontic treatment.
Main Methods:
- * A narrative review synthesizing literature on XAI.
- * Searches conducted in PubMed and Scopus databases up to April 2026.
- * Analysis of XAI's technical foundations, dental applications, and endodontic relevance.
Main Results:
- * The application of XAI in endodontics is currently limited.
- * Essential XAI systems require methodological rigor, clinical relevance, and ethical considerations.
- * Development should be supported by prospective studies to ensure robust evidence.
Conclusions:
- * XAI is vital for advancing endodontics, enabling interpretable and personalized treatment strategies.
- * Rigorous development of XAI can strengthen the evidence base in endodontics.
- * XAI has the potential to foster more transparent, equitable, and reliable patient care.
Keywords:
Artificial intelligenceClinical decision supportEndodonticsExplainable AIPredictive modellingRisk stratificationMore Related Videos
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