Artificial intelligence for classification and detection of oral mucosa lesions on photographs: a systematic review and meta-analysis.

Journal: Clinical oral investigations
Published Date:

Abstract

OBJECTIVE: This study aimed to review and synthesize studies using artificial intelligence (AI) for classifying, detecting, or segmenting oral mucosal lesions on photographs.

Authors

  • Rata Rokhshad
    Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health, Berlin, Germany.
  • Hossein Mohammad-Rahimi
    Division of Artificial Intelligence Imaging Research, University of Maryland School of Dentistry, Baltimore, MD 21201, USA.
  • Jeffery B Price
    Department of Oncology and Diagnostic Sciences, University of Maryland, School of Dentistry, Baltimore, Maryland, USA.
  • Reyhaneh Shoorgashti
    Faculty of Dentistry, Tehran Medical Sciences, Islamic Azad University, 9Th Neyestan, Pasdaran, Tehran, Iran.
  • Zahra Abbasiparashkouh
    University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
  • Mahdieh Esmaeili
    Faculty of Dentistry, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
  • Bita Sarfaraz
    School of Dentistry, Shahid Beheshti University of Medical Sciences, Daneshjoo Blvd, Evin, Shahid Chamran Highway, Tehran, Postal Code: 1983963113, Iran.
  • Arad Rokhshad
    Faculty of Dentistry, Tehran Medical Sciences, Islamic Azad University, 9Th Neyestan, Pasdaran, Tehran, Iran.
  • Saeed Reza Motamedian
    Department of Orthodontics, School of Dentistry, & Dentofacial Deformities Research Center, Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: drmotamedian@gmail.com.
  • Parisa Soltani
    Department of Oral and Maxillofacial Radiology, Dental Implants Research Center, Dental Research Institute, School of Dentistry, Isfahan University of Medical Sciences, Salamat Blv, Isfahan Dental School, Isfahan, Iran.
  • Falk Schwendicke
    Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Berlin, Germany. falk.schwendicke@charite.de.