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

Ankita Kar; Volkert B. Wreesmann; Vineeth Shwetha; Shalini Thakur; Vishal U. S. Rao; Gururaj Arakeri; Peter A. Brennan

doi:10.1111/jop.13013

journal article May 28, 2020

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

Ankita Kar Volkert B. Wreesmann Vineeth Shwetha Shalini Thakur Vishal U. S. Rao Gururaj Arakeri Peter A. Brennan

Journal of Oral Pathology & Medicine Vol. 49 No. 8 pp. 727-730 · Wiley

View at Publisher Save 10.1111/jop.13013

Abstract

AbstractOral 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.

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References

24

[1]

Automatic classification of dual-modalilty, smartphone-based oral dysplasia and malignancy images using deep learning

Bofan Song, Sumsum Sunny, Ross D. Uthoff et al.

Biomedical Optics Express 10.1364/boe.9.005318

[2]

10.5321/wjs.v4.i3.115

[3]

Califano J "Genetic progression model for head and neck cancer: implications for head and neck cancer: implications for field cancerization" Cancer Res (1996)

[4]

10.3389/fpubh.2015.00245

[5]

Johnson S "Oral cancer screening and socioeconomic status" J Otolaryngol Head Neck Surg (2012)

[6]

10.1186/s12885-016-2579-4

[7]

10.1177/1179916118759289

[8]

Chhabra A "Recent trends of tobacco use in India" J Public Health (2019)

[9]

10.3322/caac.21384

[10]

10.1186/1758-3284-3-33

[11]

10.1016/s0140-6736(05)66658-5

[12]

10.1038/sj.bdj.2018.485

[13]

The potential for artificial intelligence in healthcare

Thomas Davenport, Ravi Kalakota

Future Healthcare Journal 10.7861/futurehosp.6-2-94

[14]

10.1016/j.ijom.2019.08.016

[15]

Shamim MZM "Automated detection of oral pre‐cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer" arXiv (2019)

[16]

Rosmai MD "The use of artificial intelligence to identify people at risk of oral cancer: empirical evidence in Malaysian University" Int J Sci Res Edu (2010)

[17]

Ehtesham H "Clinical decision support system, a potential solution for diagnostic accuracy improvement in oral squamous cell carcinoma: a systematic review" J Oral Health Oral Epidemiol (2017)

[18]

10.1007/s00432-018-02834-7

[19]

FolmsbeeJ LiuX Brandwein‐WeberM DoyleS(Eds).Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).https://ieeexplore.ieee.org/document/8363686/metrics. Accessed February 12 2020. 10.1109/isbi.2018.8363686

[20]

Lalithmani K "Detection of oral cancer using deep neural based adaptive fuzzy system in data mining techniques" Int J Rec Tech Eng (2019)

[21]

Shams WK "Oral cancer prediction using gene expression profiling and machine learning" Int J Appl Eng Res (2017)

[22]

10.1111/jop.12854

[23]

ChangSW.The application of artificial intelligent techniques in oral cancer prognosis based on clinicopathologic and genomic markers/Chang Siow Wee. 2013.https://pdfs.semanticscholar.org/cf18/b4e439f78ee6fef8c6170cf486f17435b8a7.pdf?_ga=2.128667788.1839622285.1581515157‐1042650925.1552747505. Accessed on 02 March 2020.

[24]

10.3399/bjgp18x695213

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Details

Published: May 28, 2020
Vol/Issue: 49(8)
Pages: 727-730
License: View

Authors

A

Ankita Kar

Department of Head and Neck Oncology Health Care Global Cancer Center Bengaluru India

V

Volkert B. Wreesmann

Department of Otolaryngology‐Head and Neck Surgery Queen Alexandra Hospital Portsmouth UK

V

Vineeth Shwetha

Department of Oral Medicine and Radiology Faculty of Dental sciences Ramaiah University of Applied science Bengaluru India

S

Shalini Thakur

Department of Head and Neck Oncology Health Care Global Cancer Center Bengaluru India

V

Vishal U. S. Rao

Department of Head and Neck Oncology Health Care Global Cancer Center Bengaluru India

G

Gururaj Arakeri

Department of Maxillofacial Surgery Navodaya Dental College and Hospital Raichur India

P

Peter A. Brennan

Department of Oral & Maxillofacial Surgery Queen Alexandra Hospital Portsmouth UK

Cite This Article

Ankita Kar, Volkert B. Wreesmann, Vineeth Shwetha, et al. (2020). Improvement of oral cancer screening quality and reach: The promise of artificial intelligence. Journal of Oral Pathology & Medicine, 49(8), 727-730. https://doi.org/10.1111/jop.13013

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

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