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- Title
Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview.
- Authors
Mahmood, Hanya; Shaban, Muhammad; Rajpoot, Nasir; Khurram, Syed A.
- Abstract
<bold>Background: </bold>This paper reviews recent literature employing Artificial Intelligence/Machine Learning (AI/ML) methods for diagnostic evaluation of head and neck cancers (HNC) using automated image analysis.<bold>Methods: </bold>Electronic database searches using MEDLINE via OVID, EMBASE and Google Scholar were conducted to retrieve articles using AI/ML for diagnostic evaluation of HNC (2009-2020). No restrictions were placed on the AI/ML method or imaging modality used.<bold>Results: </bold>In total, 32 articles were identified. HNC sites included oral cavity (n = 16), nasopharynx (n = 3), oropharynx (n = 3), larynx (n = 2), salivary glands (n = 2), sinonasal (n = 1) and in five studies multiple sites were studied. Imaging modalities included histological (n = 9), radiological (n = 8), hyperspectral (n = 6), endoscopic/clinical (n = 5), infrared thermal (n = 1) and optical (n = 1). Clinicopathologic/genomic data were used in two studies. Traditional ML methods were employed in 22 studies (69%), deep learning (DL) in eight studies (25%) and a combination of these methods in two studies (6%).<bold>Conclusions: </bold>There is an increasing volume of studies exploring the role of AI/ML to aid HNC detection using a range of imaging modalities. These methods can achieve high degrees of accuracy that can exceed the abilities of human judgement in making data predictions. Large-scale multi-centric prospective studies are required to aid deployment into clinical practice.
- Subjects
DIGITAL image processing; HEAD tumors; RESEARCH; RESEARCH methodology; ARTIFICIAL intelligence; MEDICAL cooperation; EVALUATION research; COMPARATIVE studies; INFORMATION science; RESEARCH funding; NECK tumors; ONCOLOGY
- Publication
British Journal of Cancer, 2021, Vol 124, Issue 12, p1934
- ISSN
0007-0920
- Publication type
journal article
- DOI
10.1038/s41416-021-01386-x