El rol de la inteligencia artificial en técnicas no invasivas para el diagnóstico del cáncer oral

Artificial intelligence (AI) is a promising tool for detecting oral cancer, as it is less invasive and costly, and has a high potential for accuracy. In this context, this study aimed to explore the application of AI for the early detection of oral cancer, its applications, and its future potential. To this end, a five-stage literature review was conducted in the Scopus, Scielo, and Latindex databases (2019-2024). The results revealed that AI performs effectively in the diagnosis of oral cancer, thanks to its ability to identify patterns, rapidly analyze data, perform classification tasks, and other capabilities. It was concluded that AI still faces several challenges that must be overcome; therefore, it is expected that, in the future, AI will continue to develop and be definitively integrated into oncological processes.

Authors

Publication Details

Journal
Minerva
Published
2025-09-18
DOI
https://doi.org/10.47460/minerva.v6i18.220
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

El rol de la inteligencia artificial en técnicas no invasivas para el diagnóstico del cáncer oral

Christian Esteban Gómez Carrión, Marya Graciela Barzola Loayza, Ruth Asela Saravia Alviar, Raúl Antonio Rojas Ortega
Minerva
Dental Radiography and Imaging
article

El rol de la inteligencia artificial en técnicas no invasivas para el diagnóstico del cáncer oral

Christian Esteban Gómez Carrión, Marya Graciela Barzola Loayza, Ruth Asela Saravia Alviar, Raúl Antonio Rojas Ortega
article en

Abstract

Artificial intelligence (AI) is a promising tool for detecting oral cancer, as it is less invasive and costly, and has a high potential for accuracy. In this context, this study aimed to explore the application of AI for the early detection of oral cancer, its applications, and its future potential. To this end, a five-stage literature review was conducted in the Scopus, Scielo, and Latindex databases (2019-2024). The results revealed that AI performs effectively in the diagnosis of oral cancer, thanks to its ability to identify patterns, rapidly analyze data, perform classification tasks, and other capabilities. It was concluded that AI still faces several challenges that must be overcome; therefore, it is expected that, in the future, AI will continue to develop and be definitively integrated into oncological processes.

MinervaVol. 6(18)
Openalex Percentile: Top 65%
Dental Radiography and Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.