Automated classification of elongated styloid processes using deep learning models-an artificial intelligence diagnostics.

Journal: Frontiers in oral health
Published Date: Jan 20, 2025

Abstract

BACKGROUND: The styloid process (SP), a bony projection from the temporal bone which can become elongated, resulting in cervical pain, throat discomfort, and headaches. Associated with Eagle syndrome, this elongation can compress nearby nerves and blood vessels, leading to potentially severe complications. Traditional imaging-based methods for classifying various types of elongated styloid processes (ESP) are challenging due to variations in image quality, patient positioning, and anatomical differences, which limit diagnostic accuracy. Recent advancements in artificial intelligence, particularly deep learning, provide more efficient classification of elongated styloid processes.

Authors

  • Anuradha Ganesan
    Department of Oral Medicine & Radiology, SRM Dental College, Bharathi Salai, Chennai, India.
  • N Gautham Kumar
    Department of Periodontics, Madha Dental College & Hospital, Chennai, India.
  • Prabhu Manickam Natarajan
    Department of Clinical Sciences, Center of Medical and Bio-allied Health Sciences and Research, College of Dentistry, Ajman University, Ajman, United Arab Emirates.
  • Jeevitha Gauthaman
    Department of Oral Medicine & Radiology, SRM Dental College, Bharathi Salai, Chennai, India.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals