Improvement of oral cancer screening quality and reach: The promise of artificial intelligence.
| Title: | Improvement of oral cancer screening quality and reach: The promise of artificial intelligence. |
|---|---|
| Authors: | Kar A; Department of Head and Neck Oncology, Health Care Global Cancer Center, Bengaluru, India.; Wreesmann VB; Department of Otolaryngology-Head and Neck Surgery, Queen Alexandra Hospital, Portsmouth, UK.; Shwetha V; Department of Oral Medicine and Radiology, Faculty of Dental sciences, Ramaiah University of Applied science, Bengaluru, India.; Thakur S; Department of Head and Neck Oncology, Health Care Global Cancer Center, Bengaluru, India.; Rao VUS; Department of Head and Neck Oncology, Health Care Global Cancer Center, Bengaluru, India.; Arakeri G; Department of Maxillofacial Surgery, Navodaya Dental College and Hospital, Raichur, India.; Brennan PA; Department of Oral & Maxillofacial Surgery, Queen Alexandra Hospital, Portsmouth, UK. |
| Source: | Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology [J Oral Pathol Med] 2020 Sep; Vol. 49 (8), pp. 727-730. Date of Electronic Publication: 2020 May 28. |
| Publication Type: | Journal Article; Review |
| Language: | English |
| Journal Info: | Publisher: Wiley-Blackwell Country of Publication: Denmark NLM ID: 8911934 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1600-0714 (Electronic) Linking ISSN: 09042512 NLM ISO Abbreviation: J Oral Pathol Med Subsets: MEDLINE |
| Imprint Name(s): | Publication: Oxford, UK : Wiley-Blackwell; Original Publication: Copenhagen : Munksgaard, c1989- |
| MeSH Terms: | Mouth Neoplasms*/diagnosis ; Artificial Intelligence*; Early Detection of Cancer ; Humans ; Mass Screening |
| 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.; (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.) |
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| Contributed Indexing: | Keywords: artificial intelligence; early detection; machine learning; oral squamous cell carcinoma |
| Entry Date(s): | Date Created: 20200313 Date Completed: 20201221 Latest Revision: 20201221 |
| Update Code: | 20260130 |
| DOI: | 10.1111/jop.13013 |
| PMID: | 32162398 |
| Database: | MEDLINE |
Journal Article; Review