<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>American Journal of Medical Case Reports</journalTitle>
<eissn>2374-216X</eissn>
<publicationDate>2026-07-27</publicationDate>
<volume>14</volume>
<issue>5</issue>
<startPage>54</startPage>
<endPage>60</endPage>
<doi>10.12691/ajmcr-14-5-2</doi>
<publisherRecordId>AJMCR20261452</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Artificial Intelligence Across Dental Specialties: Current Applications, Challenges, and Future Perspectives</title>
<authors>
<author>
<name>Dr. Gursewak Singh</name>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Dr. Vikram Shad</name>
<email>vikramshad@gmail.com</email>
<affiliationId>2</affiliationId>
</author>
<author>
<name>Dr. Yosra May</name>
<affiliationId>3</affiliationId>
</author>
<author>
<name>Dr. Sruthi Kalakota</name>
<affiliationId>4</affiliationId>
</author>
<author>
<name>Dr. Amanpreet Kaur</name>
<affiliationId>5</affiliationId>
</author>
<author>
<name>Dr. Sofia Olena Herin</name>
<affiliationId>6</affiliationId>
</author>
<author>
<name>Dr. Tenzin Lhadon</name>
<affiliationId>7</affiliationId>
</author>
<author>
<name>Dr. Sandeep Singh</name>
<affiliationId>8</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">BDS, Baba Farid University of Health Sciences Faridkot, Punjab, India</affiliationName>
<affiliationName affiliationId="2">DMD, MPH, BDS, University of Pennsylvania School of Dental Medicine, Philadelphia, PA, USA</affiliationName>
<affiliationName affiliationId="3">MDS/ Orthodontist, University of Dental Medicine of Monastir, Tunisia</affiliationName>
<affiliationName affiliationId="4">BDS, Drs. Sudha & Nageswara Rao Siddartha Institute of Dental Sciences, Andhra Pradesh, India</affiliationName>
<affiliationName affiliationId="5">BDS, ?BFUHS, Punjab, India</affiliationName>
<affiliationName affiliationId="6">Sophomore, Archbishop Molloy Highschool, Briarwood, NY, USA</affiliationName>
<affiliationName affiliationId="7">BDS, MCP, The Oxford Dental College and Hospital, Bengaluru, Karnataka, India</affiliationName>
<affiliationName affiliationId="8">BDS, MDS, Army College of Dental Sciences, Secunderabad, India</affiliationName>
</affiliationsList>
<abstract language="eng">Artificial intelligence (AI) has emerged as one of the most transformative technologies in modern healthcare, with significant implications for dentistry and digital dental practice. The integration of AI into various dental specialties has enhanced diagnostic accuracy, treatment planning, workflow efficiency, and patient-centered care. Recent advancements in machine learning, deep learning, and neural network algorithms have enabled the development of intelligent systems capable of analyzing radiographic images, predicting treatment outcomes, assisting in orthodontic planning, guiding implant placement, and supporting prosthetic rehabilitation. AI applications have demonstrated promising results across oral radiology, orthodontics, prosthodontics, implantology, periodontology, endodontics, pediatric dentistry, and oral pathology. This narrative review aims to provide a comprehensive overview of the current applications of artificial intelligence across dental specialties, discuss its advantages and limitations, and explore future perspectives that may shape the evolution of digital dentistry and precision oral healthcare.</abstract>
<fullTextUrl format="pdf">https://pubs.sciepub.com/ajmcr/14/5/2/ajmcr-14-5-2.pdf</fullTextUrl>
<keywords language="eng"><keyword>Artificial Intelligence</keyword>
<keyword>Digital Dentistry</keyword>
<keyword>Machine Learning</keyword>
<keyword>Deep Learning</keyword>
<keyword>Dental Specialties</keyword>
<keyword>Digital Workflow</keyword>
</keywords>
</record>
</records>
