Improvement of oral cancer screening quality and reach: The promise of artificial intelligence

Oral cancer is easily detectable by physical (self) examination. However, many cases of oral cancer are detected late, which causes unnecessary morbidity and mortality. Screening of high‐risk populations seems beneficial, but these populations are commonly located in regions with limited access to h...

Full description

Saved in:
Bibliographic Details
Published in:Journal of oral pathology & medicine 2020-09, Vol.49 (8), p.727-730
Main Authors: Kar, Ankita, Wreesmann, Volkert B., Shwetha, Vineeth, Thakur, Shalini, Rao, Vishal U. S., Arakeri, Gururaj, Brennan, Peter A.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Cancer screening
Dentistry
early detection
Early Detection of Cancer
Health care access
Humans
machine learning
Mass Screening
Medical screening
Morbidity
Mortality
Mouth Neoplasms - diagnosis
Oral cancer
oral squamous cell carcinoma
Squamous cell carcinoma
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Oral cancer is easily detectable by physical (self) examination. However, many cases of oral cancer are detected late, which causes unnecessary morbidity and mortality. Screening of high‐risk populations seems beneficial, but these populations are commonly located in regions with limited access to health care. The advent of information technology and its modern derivative artificial intelligence (AI) promises to improve oral cancer screening but to date, few efforts have been made to apply these techniques and relatively little research has been conducted to retrieve meaningful information from AI data. In this paper, we discuss the promise of AI to improve the quality and reach of oral cancer screening and its potential effect on improving mortality and unequal access to health care around the world.
ISSN:0904-2512
1600-0714
DOI:10.1111/jop.13013