Revisión sistemática: La Aplicación del Deep Learning en el sector Salud entre los años 2018 a 2022

Alesandro P. Castillo-Carranza; Elizabeth K. Bravo-Huivin; Segundo E. Cieza-Mostacero

Revisión sistemática: La Aplicación del Deep Learning en el sector Salud entre los años 2018 a 2022

Translated title of the contribution: Systematic review: The Application of Deep Learning in the Healthcare sector from 2018 to 2022

Alesandro P. Castillo-Carranza, Elizabeth K. Bravo-Huivin, Segundo E. Cieza-Mostacero

Universidad César Vallejo

Research output: Contribution to journal › Article › peer-review

Abstract

Deep Learning (DL) has revolutionized the use of artificial intelligence, allowing its application in different areas of the health sector, including tools such as image processing, signals and natural language, which positively influence decision making in this sector, taking into account the level of severity of different high-risk diseases that involve the lives of patients. As the most outstanding results, equivalent data were presented in terms of knowledge about Deep Learning in different countries such as China (86.22%), United State of America (54.39%) and others that do not exceed 11%, and the benefit presented in the area of medicine when using this tool was also evidenced.

Translated title of the contribution	Systematic review: The Application of Deep Learning in the Healthcare sector from 2018 to 2022
Original language	Spanish
Pages (from-to)	218-229
Number of pages	12
Journal	RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volume	2022
Issue number	E54
State	Published - 2022
Externally published	Yes

Cite this

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title = "Revisi{\'o}n sistem{\'a}tica: La Aplicaci{\'o}n del Deep Learning en el sector Salud entre los a{\~n}os 2018 a 2022",

abstract = "Deep Learning (DL) has revolutionized the use of artificial intelligence, allowing its application in different areas of the health sector, including tools such as image processing, signals and natural language, which positively influence decision making in this sector, taking into account the level of severity of different high-risk diseases that involve the lives of patients. As the most outstanding results, equivalent data were presented in terms of knowledge about Deep Learning in different countries such as China (86.22%), United State of America (54.39%) and others that do not exceed 11%, and the benefit presented in the area of medicine when using this tool was also evidenced.",

keywords = "Deep Learning, Health Sector, Medicine, Method, Methodology, Model",

author = "Castillo-Carranza, {Alesandro P.} and Bravo-Huivin, {Elizabeth K.} and Cieza-Mostacero, {Segundo E.}",

year = "2022",

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Revisión sistemática: La Aplicación del Deep Learning en el sector Salud entre los años 2018 a 2022. / Castillo-Carranza, Alesandro P.; Bravo-Huivin, Elizabeth K.; Cieza-Mostacero, Segundo E.
In: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, Vol. 2022, No. E54, 2022, p. 218-229.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Revisión sistemática

T2 - La Aplicación del Deep Learning en el sector Salud entre los años 2018 a 2022

AU - Castillo-Carranza, Alesandro P.

AU - Bravo-Huivin, Elizabeth K.

AU - Cieza-Mostacero, Segundo E.

PY - 2022

Y1 - 2022

N2 - Deep Learning (DL) has revolutionized the use of artificial intelligence, allowing its application in different areas of the health sector, including tools such as image processing, signals and natural language, which positively influence decision making in this sector, taking into account the level of severity of different high-risk diseases that involve the lives of patients. As the most outstanding results, equivalent data were presented in terms of knowledge about Deep Learning in different countries such as China (86.22%), United State of America (54.39%) and others that do not exceed 11%, and the benefit presented in the area of medicine when using this tool was also evidenced.

AB - Deep Learning (DL) has revolutionized the use of artificial intelligence, allowing its application in different areas of the health sector, including tools such as image processing, signals and natural language, which positively influence decision making in this sector, taking into account the level of severity of different high-risk diseases that involve the lives of patients. As the most outstanding results, equivalent data were presented in terms of knowledge about Deep Learning in different countries such as China (86.22%), United State of America (54.39%) and others that do not exceed 11%, and the benefit presented in the area of medicine when using this tool was also evidenced.

KW - Deep Learning

KW - Health Sector

KW - Medicine

KW - Method

KW - Methodology

KW - Model

UR - http://www.scopus.com/inward/record.url?scp=85159161509&partnerID=8YFLogxK

M3 - Artículo

AN - SCOPUS:85159161509

SN - 1646-9895

VL - 2022

SP - 218

EP - 229

JO - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

JF - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

IS - E54

ER -

Revisión sistemática: La Aplicación del Deep Learning en el sector Salud entre los años 2018 a 2022

Abstract

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