Application of 3D neural networks and explainable AI to classify ICDAS detection system on mandibular molars.

Journal: The Journal of prosthetic dentistry
PMID: 39438189

Abstract

STATEMENT OF PROBLEM: Considerable variations exist in cavity preparation methods and approaches. Whether the extent and depth of cavity preparation because of the extent of caries affects the overall accuracy of training deep learning models remains unexplored.

Authors

  • Taseef Hasan Farook
    Maxillofacial Prosthetic Service, Prosthodontic Unit, School of Dental Sciences, UniversitiSains Malaysia, Health Campus, Kelantan 16150, Malaysia.
  • Saif Ahmed
    Lecturer, Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh.
  • Farah Rashid
    Researcher, Adelaide Dental School, The University of Adelaide, South Australia, Australia.
  • Faisal Ahmed Sifat
    Graduate Researcher, Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh.
  • Preena Sidhu
    Lecturer, School of Dentistry, International Medical University, Kuala Lumpur, Kuala Lumpur, Malaysia.
  • Pravinkumar Patil
    Associate Professor, School of Dentistry, International Medical University, Kuala Lumpur, Kuala Lumpur, Malaysia.
  • Sumaiya Zabin Eusufzai
    Postgraduate Researcher, School of Dental Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu, Malaysia.
  • Nafij Bin Jamayet
    Division of Clinical Dentistry (Prosthodontics), School of Dentistry, International Medical University, Kuala Lumpur 57000, Malaysia.
  • James Dudley
    Associate Professor, Adelaide Dental School, The University of Adelaide, South Australia, Australia.
  • Umer Daood
    Professor, School of Dentistry, International Medical University, Kuala Lumpur, Kuala Lumpur, Malaysia. Electronic address: umerdaood@imu.edu.my.

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