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Title |
Artificial intelligence in endodontics: A comprehensive review of applications and advancement
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Authors |
Ameer Akhil Ahmed Shaik1, Puspita Guha2, Dhruvi Patel3, Madhura Jadhav4,*, Arindam Banik5, Nirav Parmar6 & Mrunal Dave7
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Affiliation |
1Department of Dental Surgery and General Dentistry, Narayana Dental College, Nellore, India; 2Department of Dentistry, Agartala Government Dental College, Agartala, Tripura, India; 3Department of Dental Surgery, College of Dental Sciences and Research Centre, Ahmedabad, Gujarat, India; 4Department of Orthodontics and Dentofacial Orthopaedics, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Pune, Maharashtra, India; 5Department of Conservative Dentistry and Endodontics, Guru Nanak Institute of Dental Sciences and Research, Kolkata, West Bengal, India; 6Department of Conservative Dentistry and Endodontics, Faculty of Dental Science, Dharmsinh Desai University, Nadiad, Gujarat, India; 7Department of Dentistry, Bethlehem Smile Design, Bethlehem, Pennsylvania, USA; *Corresponding author
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Ameer Akhil Ahmed Shaik - E-mail: ameerakhil.786@gmail.com Puspita Guha - E-mail: drguhasdental@gmail.com Dhruvi Patel - E-mail: pateld1511@gmail.com Madhura Jadhav - E-mail: madhura.kad@bharatividyapeeth.edu Arindam Banik - E-mail: arindambanik.1993@gmail.com Nirav Parmar - E-mail: drniravparmar@gmail.com Mrunal Dave - E-mail: mrunal303@gmail.com
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Article Type |
Review
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Date |
Received June 1, 2026; Revised June 30,
2026; Accepted June 30, 2026, Published June 30, 2026 |
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Abstract |
The transformative impact of artificial intelligence (AI) on endodontics is gaining momentum. It highlights advancements in diagnostic accuracy, treatment planning and patient management. By integrating machine learning algorithms and imaging techniques, AI enhances clinical decision-making, reduces procedural errors and improves patient outcomes. Thus, data shows the current applications, challenges and future directions, proposing that AI will shape the future of endodontic practice and enhance the quality of dental care.
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Keywords |
Artificial intelligence (AI), endodontics, application
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Citation |
Shaik et al. Bioinformation 22(6): 3658-3662 (2026)
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Edited by |
Rashmi Laddha
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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