000 02793nam a22003737c 4500
999 _c5954
_d5954
001 00005954
003 ES-MaONT
005 20211006062659.0
008 190313t2020 lu ||||frt|||i00| 0 eng d
020 _a978-92-76-18454-6
022 _a1831-9424
024 _2doi
_a10.2760/047666
040 _aES-MaONT
110 _aComisión Europea
_bCentro Común de Investigación
_92681
245 1 0 _aArtificial intelligence in medicine and healthcare
_cEuropean Commission. Joint Research Centre ; Gómez-González, Emilio; Gómez, Emilia
_bApplications, availability and societal impact - Study
260 _aLuxembourg
_bPublications Office of th European Union
_c2020
300 _a120 p.
336 _atexto (visual)
_2isbdcontent
337 _aelectrónico
_2isbdmedia
338 _arecurso en línea
_bcr
_2rdacarrier
520 _aThis 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.
650 0 _94348
_aInteligencia Artificial
650 7 _aSanidad digital
_2
_92065
653 _adisease prevention
653 _ainformation technology
653 _aepidemic
653 _aethics
653 _ahealth care
653 _asocial impact
700 _aGómez-González, Emilio
_94449
700 _aGómez, Emilia
_94450
856 4 _uhttp://doi.org/10.2760/047666
_x0
_yAcceso al documento
942 _cELIB
_2z