Applications of artificial intelligence in the field of oral and maxillofacial pathology: a systematic review and meta-analysis.

Journal: BMC oral health
PMID: 38263027

Abstract

BACKGROUND: Since AI algorithms can analyze patient data, medical records, and imaging results to suggest treatment plans and predict outcomes, they have the potential to support pathologists and clinicians in the diagnosis and treatment of oral and maxillofacial pathologies, just like every other area of life in which it is being used. The goal of the current study was to examine all of the trends being investigated in the area of oral and maxillofacial pathology where AI has been possibly involved in helping practitioners.

Authors

  • Nishath Sayed Abdul
    Department of OMFS & Diagnostic Sciences, College of Dentistry, Riyadh Elm, University, Riyadh, Saudi Arabia.
  • Ganiga Channaiah Shivakumar
    Department of Oral Medicine and Radiology, People's College of Dental Sciences and Research Centre, People's University, Bhopal, 462037, India. shiva21375@gmail.com.
  • Sunila Bukanakere Sangappa
    Department of Prosthodontics and Crown & Bridge, JSS Dental College and Hospital, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
  • Marco Di Blasio
    Department of Medicine and Surgery, University Center of Dentistry, University of Parma, 43126, Parma, Italy. marco.diblasio@studenti.unipr.it.
  • Salvatore Crimi
    Operative Unit of Maxillofacial Surgery, Policlinico San Marco, University of Catania, Catania, Italy.
  • Marco Cicciù
    Department of Biomedical and Surgical and Biomedical Sciences, Catania University, 95123, Catania, CT, Italy.
  • Giuseppe Minervini
    Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Saveetha University, Chennai, India. Giuseppe.minervini@unicampania.it.

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