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ORIGINAL RESEARCH article

Front. Oral. Health
Sec. Preventive Dentistry
Volume 5 - 2024 | doi: 10.3389/froh.2024.1424840

Automated Classification of Elongated Styloid Processes Using Deep Learning Models-An Artificial intelligence Diagnostics

Provisionally accepted
Anuradha Ganesan Anuradha Ganesan 1*Gautham Kumar N Gautham Kumar N 2Prabhu Natarajan Prabhu Natarajan 3*Jeevitha Gauthaman Jeevitha Gauthaman 4
  • 1 Dept. of Oral Medicine & Radiology, SRM Dental College, Chennai, Tamil Nadu, India
  • 2 Dept of Periodontics, Madha Dental College and Hospital, Chennai, India
  • 3 Faculty in Periodontics, College of Dentistry, Ajman University, Ajman, United Arab Emirates
  • 4 dept of Oral Medicine & Radiology, SRM Dental College, Chennai, Tamil Nadu, India

The final, formatted version of the article will be published soon.

    The manuscript titled "Automated Classification of Elongated Styloid Processes Using Deep Learning Models-An Artificial Intelligence Diagnostics" is well-aligned with the scope of Frontiers-Oral Health and Preventive Dentistry. This journal focuses on innovative research related to oral health, diagnostics, and preventive dentistry, making it an ideal platform for our study. Our research addresses a significant clinical concern by utilizing deep learning models for the automated classification of elongated styloid processes. This is a novel approach that has the potential to revolutionize diagnostics in dentistry, especially in identifying and managing conditions related to the styloid process. By submitting our manuscript to Frontiers-Oral Health and Preventive Dentistry, we aim to contribute to the advancement of diagnostic techniques in dentistry, aligning with the journal's commitment to publishing cutting-edge research in oral health and preventive care. This alignment ensures that our work will undergo a thorough and appropriate peer review process, reducing the risk of rejection due to scope unsuitability and facilitating a faster dissemination of our findings to the dental community.

    Keywords: Writing -original draft, Writing -review & editing. Jeevitha Gauthaman: Writing -review & editing. Gautham Kumar N: Writing -original draft, Writing -review & editing. Prabhu Natarajan: Writing -original draft, Writingreview & editing Deep Learning, Panoramic radiography, Convolutional Neural Networks, Styloid process, Diagnosis Deep Learning

    Received: 28 Apr 2024; Accepted: 18 Dec 2024.

    Copyright: © 2024 Ganesan, Kumar N, Natarajan and Gauthaman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Anuradha Ganesan, Dept. of Oral Medicine & Radiology, SRM Dental College, Chennai, Tamil Nadu, India
    Prabhu Natarajan, Faculty in Periodontics, College of Dentistry, Ajman University, Ajman, United Arab Emirates

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.