Evaluation of the Diagnostic and Prognostic Accuracy of Artificial Intelligence in Endodontic Dentistry: A Comprehensive Review of Literature.

Abstract

Authors

• Mohmed Isaqali Karobari
  Department of Restorative Dentistry & Endodontics, Faculty of Dentistry, University of Puthisastra, Phnom Penh 12211, Cambodia.
• Abdul Habeeb Adil
  Department of Community Dentistry, School of Dental Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kota Bharu, 16150 Kelantan, Malaysia.
• Syed Nahid Basheer
  Division of operative dentistry, Department of Restorative Dental Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
• Sabari Murugesan
  Division of operative dentistry, Department of Restorative Dental Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
• Kamatchi Subramani Savadamoorthi
  Division of operative dentistry, Department of Restorative Dental Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
• Mohammed Mustafa
  Faculty of Computing and Information Technology, University of Tabuk, KSA, Tabuk 71491, Saudi Arabia.
• Abdulaziz Abdulwahed
  Department of Conservative Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj 11942, Saudi Arabia.
• Ahmed A Almokhatieb
  Department of Conservative Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj 11942, Saudi Arabia.

Keywords

External Resources