Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review

Head and neck tumor differential diagnosis and prognosis have always been a challenge for oral pathologists due to their similarities and complexity. Artificial intelligence novel applications can function as an auxiliary tool for the objective interpretation of histomorphological digital slides. In...

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Autores principales: Pereira-Prado, Vanesa, Martins-Silveira, Felipe, Sicco, Estafanía, Hochmann, Jimena, Isiordia-Espinoza, Mario Alberto, González, Rogelio González, Pandiar, Deepak, Bologna-Molina, Ronell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378350/
https://www.ncbi.nlm.nih.gov/pubmed/37510160
http://dx.doi.org/10.3390/diagnostics13142416
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author Pereira-Prado, Vanesa
Martins-Silveira, Felipe
Sicco, Estafanía
Hochmann, Jimena
Isiordia-Espinoza, Mario Alberto
González, Rogelio González
Pandiar, Deepak
Bologna-Molina, Ronell
author_facet Pereira-Prado, Vanesa
Martins-Silveira, Felipe
Sicco, Estafanía
Hochmann, Jimena
Isiordia-Espinoza, Mario Alberto
González, Rogelio González
Pandiar, Deepak
Bologna-Molina, Ronell
author_sort Pereira-Prado, Vanesa
collection PubMed
description Head and neck tumor differential diagnosis and prognosis have always been a challenge for oral pathologists due to their similarities and complexity. Artificial intelligence novel applications can function as an auxiliary tool for the objective interpretation of histomorphological digital slides. In this review, we present digital histopathological image analysis applications in oral squamous cell carcinoma. A literature search was performed in PubMed MEDLINE with the following keywords: “artificial intelligence” OR “deep learning” OR “machine learning” AND “oral squamous cell carcinoma”. Artificial intelligence has proven to be a helpful tool in histopathological image analysis of tumors and other lesions, even though it is necessary to continue researching in this area, mainly for clinical validation.
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spelling pubmed-103783502023-07-29 Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review Pereira-Prado, Vanesa Martins-Silveira, Felipe Sicco, Estafanía Hochmann, Jimena Isiordia-Espinoza, Mario Alberto González, Rogelio González Pandiar, Deepak Bologna-Molina, Ronell Diagnostics (Basel) Review Head and neck tumor differential diagnosis and prognosis have always been a challenge for oral pathologists due to their similarities and complexity. Artificial intelligence novel applications can function as an auxiliary tool for the objective interpretation of histomorphological digital slides. In this review, we present digital histopathological image analysis applications in oral squamous cell carcinoma. A literature search was performed in PubMed MEDLINE with the following keywords: “artificial intelligence” OR “deep learning” OR “machine learning” AND “oral squamous cell carcinoma”. Artificial intelligence has proven to be a helpful tool in histopathological image analysis of tumors and other lesions, even though it is necessary to continue researching in this area, mainly for clinical validation. MDPI 2023-07-20 /pmc/articles/PMC10378350/ /pubmed/37510160 http://dx.doi.org/10.3390/diagnostics13142416 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Pereira-Prado, Vanesa
Martins-Silveira, Felipe
Sicco, Estafanía
Hochmann, Jimena
Isiordia-Espinoza, Mario Alberto
González, Rogelio González
Pandiar, Deepak
Bologna-Molina, Ronell
Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review
title Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review
title_full Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review
title_fullStr Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review
title_full_unstemmed Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review
title_short Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review
title_sort artificial intelligence for image analysis in oral squamous cell carcinoma: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378350/
https://www.ncbi.nlm.nih.gov/pubmed/37510160
http://dx.doi.org/10.3390/diagnostics13142416
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