Utilization of artificial intelligence-assisted histopathological detection in surveillance of oral squamous cell carcinoma staging: A narrative review

• Main Authors: Agung Sosiawan, -, Ria Chusnita, -, Putri Alfa Meirani Laksanti, -, Amelia Aisyiah Anwar, -, Nastiti Faradilla Ramadhani, -, Alexander Patera Nugraha, -
• Format: Article PeerReviewed
• Language: English; English; English; English
• Published: World Journal of Advanced Research and Review 2022
• Subjects: RK Dentistry
• Online Access: https://repository.unair.ac.id/119228/5/6.%20Koresponden.pdf; https://repository.unair.ac.id/119228/7/6.%20VALIDASI%20KARIL.pdf; https://repository.unair.ac.id/119228/9/6.%20Utilization.pdf; https://repository.unair.ac.id/119228/10/6.%20Utilization.pdf; https://repository.unair.ac.id/119228/; https://wjarr.com/ https://wjarr.com/content/utilization-artificial-intelligence-assisted-histopathological-detection-surveillance-oral; https://doi.org/10.30574/wjarr.2022.16.3.1293

Background: Oral squamous cell carcinoma (OSCC) is defined as an oral malignancy with worldwide prevalence of 90%. In 2018, the number of cases observed is 354.864 with 177.384 deaths globally. Early diagnosis for determining OSCC stage due to histopathological examination is required to sustain p...