Improvement of oral cancer screening quality and reach: The promise of artificial intelligence
Ankita Kar, Volkert B. Wreesmann, V. Shwetha, Shalini Thakur, Vishal Rao, Gururaj Arakeri, Peter A. Brennan
Abstract
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.