Application of artificial intelligence and machine learning for prediction of oral cancer risk.

Journal: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
Published Date:

Abstract

BACKGROUND: Oral cancer requires early diagnosis and treatment to increase the chances of survival. This study aimed to develop an artificial neural network model that helps to predict the individuals' risk of developing oral cancer based on data on risk factors, systematic medical condition, and clinic-pathological features.

Authors

  • Anwar Alhazmi
    Department of Preventive Dental Science, Jazan University, College of Dentistry, Jazan, Saudi Arabia.
  • Yaser Alhazmi
    Department of Maxillofacial Surgery and Diagnostic Sciences, Jazan University, College of Dentistry, Jazan, Saudi Arabia.
  • Ali Makrami
    Prince Mohammed Bin Nasser Hospital, Ministry of health, Jazan, Saudi Arabia.
  • Amal Masmali
    Ministry of health, Jazan, Saudi Arabia.
  • Nourah Salawi
    Ministry of health, Jazan, Saudi Arabia.
  • Khulud Masmali
    Ministry of health, Jazan, Saudi Arabia.
  • Shankargouda Patil
    College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT, United States.