000 | 02794nam a22003737c 4500 | ||
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_c5954 _d5954 |
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001 | 00005954 | ||
003 | ES-MaONT | ||
005 | 20250123012003.0 | ||
008 | 190313t2020 lu ||||frt|||i00| 0 eng d | ||
020 | _a978-92-76-18454-6 | ||
022 | _a1831-9424 | ||
024 |
_2doi _a10.2760/047666 |
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040 | _aES-MaONT | ||
110 | 1 |
_aComisión Europea. _bCentro Común de Investigación _92681 |
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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 |
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300 | _a120 p. | ||
336 |
_atexto (visual) _2isbdcontent |
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337 |
_aelectrónico _2isbdmedia |
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338 |
_arecurso en línea _bcr _2rdacarrier |
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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 |
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650 | 7 |
_aSanidad digital _2 _92065 |
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653 | _adisease prevention | ||
653 | _ainformation technology | ||
653 | _aepidemic | ||
653 | _aethics | ||
653 | _ahealth care | ||
653 | _asocial impact | ||
700 |
_aGómez-González, Emilio _94449 |
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700 |
_aGómez, Emilia _94450 |
||
856 | 4 |
_uhttp://doi.org/10.2760/047666 _x0 _yAcceso al documento |
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942 |
_cELIB _2z |