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
Descripción
Sumario: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.