Inteligencia artificial en el diagnóstico histopatológico de microorganismos

Introduction: most of the digital pathology applications are related to oncology, although some recent models have been proposed to evaluate their usefulness in the histopathological diagnosis of microorganisms. Material and Methods: this review included 10 articles published in English, centered around the histopathological diagnosis of microorganisms and the different artificial intelligence (AI) models. Discussion: the designed AI models have been tested for diagnosing Helicobacter pylori, Mycobacterium tuberculosis, Aspergillus, Mucorales and microorganisms causing onychomycosis. Conclusions: the use of artificial intelligence in the histopathological diagnosis of microorganisms is recommended as an emerging field which assists the pathologist coordinating the different models, thus optimizing his function, and improving workflows and effectiveness levels.

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Publication Details

Journal
Revista Repertorio de Medicina y Cirugía
Published
2024-09-20
DOI
https://doi.org/10.31260/repertmedcir.01217372.1585
Primary Topic
AI in cancer detection
Type
article
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article

Inteligencia artificial en el diagnóstico histopatológico de microorganismos

José Fernando Polo Nieto, María Victoria, Rafael Parra‐Medina, John Jaime Sprockel Díaz et al.
Revista Repertorio de Medicina y Cirugía
AI in cancer detection
article

Inteligencia artificial en el diagnóstico histopatológico de microorganismos

José Fernando Polo Nieto, María Victoria, Rafael Parra‐Medina, John Jaime Sprockel Díaz, Arley Gómez López, Andrés Mosquera‐Zamudio, Ivan Alberto Romero-Fandiño, Lina María Quintero, Andrea González Coba
article en

Abstract

Introduction: most of the digital pathology applications are related to oncology, although some recent models have been proposed to evaluate their usefulness in the histopathological diagnosis of microorganisms. Material and Methods: this review included 10 articles published in English, centered around the histopathological diagnosis of microorganisms and the different artificial intelligence (AI) models. Discussion: the designed AI models have been tested for diagnosing Helicobacter pylori, Mycobacterium tuberculosis, Aspergillus, Mucorales and microorganisms causing onychomycosis. Conclusions: the use of artificial intelligence in the histopathological diagnosis of microorganisms is recommended as an emerging field which assists the pathologist coordinating the different models, thus optimizing his function, and improving workflows and effectiveness levels.

Revista Repertorio de Medicina y CirugíaVol. 33(3)
Universitat de València (ES), Fundación Universitaria de Ciencias de la Salud (CO)
Openalex Percentile: Top 86%
AI in cancer detection
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Inteligencia artificial en el diagnóstico histopatológico de microorganismos — José Fernando Polo Nieto, María Victoria, et al. · Revista Repertorio de Medicina y Cirugía (2024) | TGRS Research Map | TGRS