Telemedicine and diagnostic artificial intelligence: evolution, prospects, and social challenges

This article examines the evolution of telemedicine as one of the key fields in modern medicine, utilizing information and communication technologies to provide medical services remotely. The study’s goal is to analyze the historical development of telemedicine and its impact on medical practice, as...

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Detalles Bibliográficos
Autor: Penner, Regina
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/165825
Acceso en línea:https://hdl.handle.net/11441/165825
https://doi.org/10.12795/Argumentos/2024.i27.07
Access Level:acceso abierto
Palabra clave:Telemedicine
Artificial Intelligence
Diagnostic artificial intelligence
Google
AMIE
Openai
Evolution
Prospects
Social challenges
Telemedicina
Inteligencia artificial
Inteligencia artificial diagnóstica
Evolución
Perspectivas
Retos sociales
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repository_id_str
spelling Telemedicine and diagnostic artificial intelligence: evolution, prospects, and social challengesTelemedicina e inteligencia artificial diagnóstica: evolución, perspectivas y retos socialesPenner, ReginaTelemedicineArtificial IntelligenceDiagnostic artificial intelligenceGoogleAMIEOpenaiEvolutionProspectsSocial challengesTelemedicinaInteligencia artificialInteligencia artificial diagnósticaEvoluciónPerspectivasRetos socialesThis article examines the evolution of telemedicine as one of the key fields in modern medicine, utilizing information and communication technologies to provide medical services remotely. The study’s goal is to analyze the historical development of telemedicine and its impact on medical practice, as well as assess the prospects of using Diagnostic Artificial Intelligence (Diagnostic AI) in telemedicine. The research methodology includes discourse analysis, based on the works of Michel Foucault and Gilles Deleuze, allowing the examination of medical institutions as mechanisms for controlling and normalizing patient behavior. The study concludes that telemedicine significantly improves access to healthcare, reduces costs, and enhances treatment efficiency. Diagnostic AI represents a new phase in telemedicine, capable of accelerating and improving diagnostic processes, though its implementation is accompanied by significant ethical and social challenges. The novelty of this article lies in critically examining the role of telemedicine and diagnostic technologies in contemporary society, with a focus on their disciplinary functions and the influence on the relationships between patients and healthcare professionals. The conclusion emphasizes the importance of further study and regulation of Diagnostic AI in medical practice to minimize risks and ensure equitable access to healthcare.Este artículo examina la evolución de la telemedicina como uno de los campos clave en la medicina moderna, utilizando tecnologías de la información y la comunicación para proporcionar servicios médicos de forma remota. El objetivo del estudio es analizar el desarrollo histórico de la telemedicina y su impacto en la práctica médica, así como evaluar las perspectivas de uso de la Inteligencia Artificial Diagnóstica (IA Diagnóstica) en la telemedicina. La metodología de investigación incluye el análisis del discurso, basado en los trabajos de Michel Foucault y Gilles Deleuze, lo que permite examinar las instituciones médicas como mecanismos para controlar y normalizar el comportamiento del paciente. El estudio concluye que la telemedicina mejora significativamente el acceso a la atención médica, reduce los costos y mejora la eficiencia del tratamiento. La IA diagnóstica representa una nueva fase en la telemedicina, capaz de acelerar y mejorar los procesos de diagnóstico, aunque su implementación está acompañada de importantes desafíos éticos y sociales. La novedad de este artículo radica en examinar críticamente el papel de la telemedicina y las tecnologías de diagnóstico en la sociedad contemporánea, con un enfoque en sus funciones disciplinarias y la influencia en las relaciones entre pacientes y profesionales de la salud. La conclusión enfatiza la importancia de seguir estudiando y regulando la IA diagnóstica en la práctica médica para minimizar los riesgos y garantizar un acceso equitativo a la atención médica.Editorial Universidad de Sevilla2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/165825https://doi.org/10.12795/Argumentos/2024.i27.07reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésArgumentos de Razón Ténica, 27, 215-230.https://doi.org/10.12795/Argumentos/2024.i27.07info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1658252026-06-17T12:51:07Z
dc.title.none.fl_str_mv Telemedicine and diagnostic artificial intelligence: evolution, prospects, and social challenges
Telemedicina e inteligencia artificial diagnóstica: evolución, perspectivas y retos sociales
title Telemedicine and diagnostic artificial intelligence: evolution, prospects, and social challenges
spellingShingle Telemedicine and diagnostic artificial intelligence: evolution, prospects, and social challenges
Penner, Regina
Telemedicine
Artificial Intelligence
Diagnostic artificial intelligence
Google
AMIE
Openai
Evolution
Prospects
Social challenges
Telemedicina
Inteligencia artificial
Inteligencia artificial diagnóstica
Evolución
Perspectivas
Retos sociales
title_short Telemedicine and diagnostic artificial intelligence: evolution, prospects, and social challenges
title_full Telemedicine and diagnostic artificial intelligence: evolution, prospects, and social challenges
title_fullStr Telemedicine and diagnostic artificial intelligence: evolution, prospects, and social challenges
title_full_unstemmed Telemedicine and diagnostic artificial intelligence: evolution, prospects, and social challenges
title_sort Telemedicine and diagnostic artificial intelligence: evolution, prospects, and social challenges
dc.creator.none.fl_str_mv Penner, Regina
author Penner, Regina
author_facet Penner, Regina
author_role author
dc.subject.none.fl_str_mv Telemedicine
Artificial Intelligence
Diagnostic artificial intelligence
Google
AMIE
Openai
Evolution
Prospects
Social challenges
Telemedicina
Inteligencia artificial
Inteligencia artificial diagnóstica
Evolución
Perspectivas
Retos sociales
topic Telemedicine
Artificial Intelligence
Diagnostic artificial intelligence
Google
AMIE
Openai
Evolution
Prospects
Social challenges
Telemedicina
Inteligencia artificial
Inteligencia artificial diagnóstica
Evolución
Perspectivas
Retos sociales
description This article examines the evolution of telemedicine as one of the key fields in modern medicine, utilizing information and communication technologies to provide medical services remotely. The study’s goal is to analyze the historical development of telemedicine and its impact on medical practice, as well as assess the prospects of using Diagnostic Artificial Intelligence (Diagnostic AI) in telemedicine. The research methodology includes discourse analysis, based on the works of Michel Foucault and Gilles Deleuze, allowing the examination of medical institutions as mechanisms for controlling and normalizing patient behavior. The study concludes that telemedicine significantly improves access to healthcare, reduces costs, and enhances treatment efficiency. Diagnostic AI represents a new phase in telemedicine, capable of accelerating and improving diagnostic processes, though its implementation is accompanied by significant ethical and social challenges. The novelty of this article lies in critically examining the role of telemedicine and diagnostic technologies in contemporary society, with a focus on their disciplinary functions and the influence on the relationships between patients and healthcare professionals. The conclusion emphasizes the importance of further study and regulation of Diagnostic AI in medical practice to minimize risks and ensure equitable access to healthcare.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/165825
https://doi.org/10.12795/Argumentos/2024.i27.07
url https://hdl.handle.net/11441/165825
https://doi.org/10.12795/Argumentos/2024.i27.07
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Argumentos de Razón Ténica, 27, 215-230.
https://doi.org/10.12795/Argumentos/2024.i27.07
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Editorial Universidad de Sevilla
publisher.none.fl_str_mv Editorial Universidad de Sevilla
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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