The innovation of AI-based software in oral diseases: clinical-histopathological correlation diagnostic accuracy primary study.

Journal: BMC oral health
PMID: 38778322

Abstract

BACKGROUND: Machine learning (ML) through artificial intelligence (AI) could provide clinicians and oral pathologists to advance diagnostic problems in the field of potentially malignant lesions, oral cancer, periodontal diseases, salivary gland disease, oral infections, immune-mediated disease, and others. AI can detect micro-features beyond human eyes and provide solution in critical diagnostic cases.

Authors

  • Shaimaa O Zayed
    Department of Oral maxillofacial Pathology, Faculty of Dentistry, Cairo University, Cairo, Egypt.
  • Rawan Y M Abd-Rabou
    Faculty of Oral Medicine & Dental Surgery, Misr University for Science and Technology, P. O. Box 77, Giza, Egypt.
  • Gomana M Abdelhameed
    General Medicine, New Giza, Giza, Egypt.
  • Youssef Abdelhamid
    Philosophy & Interactive Media Minors, New York University, Abu Dhabi, United Arab Emirates.
  • Khalid Khairy
    Kafrel-Shiekh University, Kafrel-Shiekh, Egypt.
  • Bassam A Abulnoor
    Fixes Prosthodontics, Faculty of Dentistry, Ain Shams University, Cairo, Egypt.
  • Shereen Hafez Ibrahim
    Faculty of Dentistry, Cairo University, Cairo, Egypt. Shereen.hafez@dentistry.cu.edu.eg.
  • Heba Khaled
    Lecturer of Oral Maxillofacial Pathology, Faculty of Dentistry, Cairo University, Cairo, Egypt.

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