Application of artificial intelligence and machine learning for prediction of oral cancer risk.

Anwar S AlhazmiYaser AlhazmiAli MakramiAmal MasmaliNourah SalawiKhulud MasmaliShankaragouda Patil

Published in: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology (2021)

Our results suggest that this machine-learning technique has the potential to help in oral cancer screening and diagnosis based on the datasets. The results demonstrate that the artificial neural network could perform well in estimating the probability of malignancy and improve the positive predictive value that could help to predict the individuals' risk of developing OC based on knowledge of their risk factors, systemic medical conditions, and clinic-pathological data.

Keyphrases

artificial intelligence
machine learning
neural network
big data
risk factors
healthcare
deep learning
primary care
electronic health record
rna seq
risk assessment
single cell