The use of artificial intelligence, machine learning and deep learning in oncologic histopathology.

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: Recently, there has been a momentous drive to apply advanced artificial intelligence (AI) technologies to diagnostic medicine. The introduction of AI has provided vast new opportunities to improve health care and has introduced a new wave of heightened precision in oncologic pathology. The impact of AI on oncologic pathology has now become apparent, and its use with respect to oral oncology is still in the nascent stage.

Authors

  • Ahmed S Sultan
    School of Dentistry, University of Maryland, Baltimore, MD, USA.
  • Mohamed A Elgharib
    Max Planck Institute for Informatics, Saarbrucken, Germany.
  • Tiffany Tavares
    School of Dentistry, University of Missouri-Kansas City, Kansas City, MO, USA.
  • Maryam Jessri
    Oral Health Centre of Western Australia, Perth, WA, Australia.
  • John R Basile
    School of Dentistry, University of Maryland, Baltimore, MD, USA.