Artificial intelligence in medical management: advances and challenges

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:33:52Z
Fecha de publicación2024-01-01
ResumenArtificial intelligence has emerged as a revolutionary tool in medical management, promising significant improvements in diagnosis, treatment, and administration of healthcare services. The aim of this research is to analyze and synthesize the existing literature on the use of artificial intelligence in medical management. A literature search based on a descriptive qualitative design was conducted, scientific articles, reports, and case studies published in the last five years were reviewed, and sources were selected through a systematic search in academic databases. The research revealed that significant progress has been made in areas such as diagnostic imaging, personalized medicine, and hospital management, however, key challenges were identified, such as lack of high-quality data, ethical concerns about privacy and security, and resistance to change in the organizational culture of medical institutions. Artificial intelligence has enormous potential to transform medical management, improving the efficiency and accuracy of healthcare services.es_ES
Doihttps://doi.org/10.52080/rvgluz.29.108.21es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/5622
Idiomaeses_ES
EditorialUniversidad del Zuliaes_ES
RelaciónRevista Venezolana de Gerenciaes_ES
URL relacionadohttps://doi.org/10.52080/rvgluz.29.108.21es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteRevista Venezolana de Gerencia
Palabra claveavanceses_ES
Palabra clavedesafíoses_ES
Palabra claveinteligencia artificiales_ES
Palabra clavemedicinaes_ES
Palabra clavetecnologíaes_ES
TítuloArtificial intelligence in medical management: advances and challengeses_ES
Título alternativoInteligencia artificial en la gestión de la medicina: avances y desafíoses_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorMiriam Janet, Cervantes López
AutorJaime, Cruz Casados
AutorLaura Nelly, Cruz Casados
AutorMiriam Janet, Cervantes Lópezes_ES
AutorJaime, Cruz Casadoses_ES
AutorLaura Nelly, Cruz Casadoses_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número108es_ES
Rango de páginas1817-1835es_ES
URL relacionadahttps://doi.org/10.52080/rvgluz.29.108.21
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen29es_ES

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