Application of neural networks for the detection of oral cancer: A systematic review.
Dent Med Probl
; 61(1): 121-128, 2024.
Article
en En
| MEDLINE
| ID: mdl-37098828
ABSTRACT
One potential application of neural networks (NNs) is the early-stage detection of oral cancer. This systematic review aimed to determine the level of evidence on the sensitivity and specificity of NNs for the detection of oral cancer, following the Preferred Reporting Items for Systematic Reviews and MetaAnalyses (PRISMA) and Cochrane guidelines. Literature sources included PubMed, ClinicalTrials, Scopus, Google Scholar, and Web of Science. In addition, the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool was used to assess the risk of bias and the quality of the studies. Only 9 studies fully met the eligibility criteria. In most studies, NNs showed accuracy greater than 85%, though 100% of the studies presented a high risk of bias, and 33% showed high applicability concerns. Nonetheless, the included studies demonstrated that NNs were useful in the detection of oral cancer. However, studies of higher quality, with an adequate methodology, a low risk of bias and no applicability concerns are required so that more robust conclusions could be reached.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Neoplasias de la Boca
/
Redes Neurales de la Computación
Tipo de estudio:
Diagnostic_studies
/
Guideline
/
Screening_studies
/
Systematic_reviews
Límite:
Humans
Idioma:
En
Revista:
Dent Med Probl
Año:
2024
Tipo del documento:
Article
País de afiliación:
México