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Artificial intelligence in medicine and healthcare

Applications, availability and societal impact - Study

Autor(es):
Gómez-González, Emilio | Gómez, Emilia.
Comisión Europea Centro Común de Investigación.
Editor: Luxembourg Publications Office of th European Union 2020Descripción: 120 p.Tipo de contenido: texto (visual)
Tipo de medio: electrónico
Tipo de soporte: recurso en línea
ISBN: 978-92-76-18454-6.ISSN: 1831-9424.Tema(s): Inteligencia Artificial | eSalud | disease prevention | information technology | epidemic | ethics | health care | social impactRecursos en línea: AbiertoAcceso a la publicación Resumen: This report reviews and classifies the current and near-future applications of Artificial Intelligence (AI) in Medicine and Healthcare according to their ethical and societal impact and the availability level of the various technological implementations. It provides conceptual foundations for well-informed policy-oriented work, research, and forward-looking activities that address the opportunities and challenges created in the field of AI in Medicine and Healthcare. This report is aimed for policy developers, but it also makes contributions that are of interest for researchers studying the impact and the future of AI on Healthcare, for scientific and technological stakeholders in this field and for the general public. This report is based on an analysis of the state of the art of research and technology, including software, personal monitoring devices, genetic tests and editing tools, personalized digital models, online platforms, augmented reality devices, and surgical and companion robotics. From this analysis, it is presented the concept of ‘extended personalized medicine’, and it is explored the public perception of medical AI systems, and how they show, simultaneously, extraordinary opportunities and drawbacks. In addition, this report addresses the transformation of the roles of doctors and patients in an age of ubiquitous information and identifies three main paradigms in AI-supported Medicine: ‘fake-based’, ‘patient-generated’, and ‘scientifically tailored’ views.
Lista(s) en las que aparece este ítem: Inteligencia Artificial
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El Centro de Documentación del Observatorio Nacional de las Telecomunicaciones y de la Sociedad de la Información (CDO) os da la bienvenida al catálogo bibliográfico sobre recursos digitales en las materias de Tecnologías de la Información y telecomunicaciones, Servicios públicos digitales, Administración Electrónica y Economía digital. 

 

 

Colección digital Acceso libre online .pdf 1000020176157

This report reviews and classifies the current and near-future applications of Artificial Intelligence (AI) in Medicine and Healthcare according to their ethical and societal impact and the availability level of the various technological implementations. It provides conceptual foundations for well-informed policy-oriented work, research, and forward-looking activities that address the opportunities and challenges created in the field of AI in Medicine and Healthcare. This report is aimed for policy developers, but it also makes contributions that are of interest for researchers studying the impact and the future of AI on Healthcare, for scientific and technological stakeholders in this field and for the general public. This report is based on an analysis of the state of the art of research and technology, including software, personal monitoring devices, genetic tests and editing tools, personalized digital models, online platforms, augmented reality devices, and surgical and companion robotics. From this analysis, it is presented the concept of ‘extended personalized medicine’, and it is explored the public perception of medical AI systems, and how they show, simultaneously, extraordinary opportunities and drawbacks. In addition, this report addresses the transformation of the roles of doctors and patients in an age of ubiquitous information and identifies three main paradigms in AI-supported Medicine: ‘fake-based’, ‘patient-generated’, and ‘scientifically tailored’ views.

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