Authors :
Dr. Chinmaya G J; Dr. Shruthi K Patil; Dr. Ahmed Mujib B R
Volume/Issue :
Volume 8 - 2023, Issue 9 - September
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/y9vvcj2u
DOI :
https://doi.org/10.5281/zenodo.8416066
Abstract :
Oral cancers rank 6th most common
malignancy in the world with delayed clinical detection
and poor prognosis. Sometimes clinicians fail to suspect
the malignant nature of the lesion and treat it by
empirical procedure. Since oral cancer has a poor
prognosis early detection and appropriate treatment are
essential to improve the life expectancy of the patients.
Before the advent of artificial intelligence, cancer
diagnosis and treatment relied on histological grading of
biopsy and TNM staging. Immediate biopsy of ill-defined
or innocuous appearing lesions is impractical in early
screening and is not advocated. With the advancement of
information technology, artificial intelligence holds great
promise in terms of assessing diagnosis by predicting
outcomes based on the datasets provided using
algorithms. Artificial intelligence can be used to analyze
the biomarkers accurately which helps in understanding
the pathogenesis and prognosis of oral cancer. Detection
of oral cancer ranges from traditional methods of visual
inspection and biopsy to current methods of detection
using artificial intelligence combined with smartphone-
based probes.
Keywords :
Artificial Intelligence, Oral Cancer, Machine learning, Deep Neural Network.
Oral cancers rank 6th most common
malignancy in the world with delayed clinical detection
and poor prognosis. Sometimes clinicians fail to suspect
the malignant nature of the lesion and treat it by
empirical procedure. Since oral cancer has a poor
prognosis early detection and appropriate treatment are
essential to improve the life expectancy of the patients.
Before the advent of artificial intelligence, cancer
diagnosis and treatment relied on histological grading of
biopsy and TNM staging. Immediate biopsy of ill-defined
or innocuous appearing lesions is impractical in early
screening and is not advocated. With the advancement of
information technology, artificial intelligence holds great
promise in terms of assessing diagnosis by predicting
outcomes based on the datasets provided using
algorithms. Artificial intelligence can be used to analyze
the biomarkers accurately which helps in understanding
the pathogenesis and prognosis of oral cancer. Detection
of oral cancer ranges from traditional methods of visual
inspection and biopsy to current methods of detection
using artificial intelligence combined with smartphone-
based probes.
Keywords :
Artificial Intelligence, Oral Cancer, Machine learning, Deep Neural Network.
