Improvement of oral cancer screening quality and reach: The promise of artificial intelligence
| Autor: | Vishal Rao, Shalini Thakur, Vineeth Shwetha, Volkert B. Wreesmann, Ankita Kar, Peter A. Brennan, Gururaj Arakeri |
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| Rok vydání: | 2020 |
| Předmět: |
Cancer Research
media_common.quotation_subject Early detection Pathology and Forensic Medicine Limited access 03 medical and health sciences 0302 clinical medicine Artificial Intelligence Health care Humans Mass Screening Medicine Quality (business) Early Detection of Cancer media_common Oral cancer screening business.industry Potential effect Cancer 030206 dentistry medicine.disease Otorhinolaryngology 030220 oncology & carcinogenesis Periodontics Mouth Neoplasms Artificial intelligence Oral Surgery business |
| Zdroj: | Journal of Oral Pathology & Medicine. 49:727-730 |
| ISSN: | 1600-0714 0904-2512 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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