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001 | 00006126 | ||
003 | ES-MaONT | ||
005 | 20211006062642.0 | ||
008 | 200917s2020 sz a|||fry 0| u|eng u | ||
024 | _d. | ||
040 | _aES-MaONT | ||
245 | 0 | 0 |
_aReimagining Global Health through Artificial Intelligence _b: The Roadmap to AI Maturity _c/ Working Group on Digital and AI in Health |
260 |
_aGeneva _b: Broadband Commission for Sustainable Development, _c2020 |
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300 |
_a139 p. _b: il. _c; 1 documento PDF |
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336 |
_atexto (visual) _2isbdcontent |
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337 |
_aelectrónico _2isbdmedia |
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338 |
_arecurso en línea _2rdacarrier |
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504 | _aBibliografía: p. 130-138 | ||
520 | _aThe report holds that while low- and middleincome countries may have the most to gain from the radical potential of Artificial Intelligence (AI) to transform health systems, they may also have the most to lose. | ||
650 | 0 |
_94348 _aInteligencia Artificial |
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650 | 0 |
_aTecnologías habilitadoras digitales _918 |
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653 | _aCOVID-19 | ||
653 | _aartificial intelligence | ||
653 | _aAI | ||
653 | _adata | ||
653 | _ahealth | ||
653 | _agovernance | ||
653 | _adevelopment | ||
710 | 2 |
_aBroadband Commission for Sustainable Development _93491 |
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710 | 2 |
_aWorking Group on Digital and AI in Health _94619 |
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856 | 4 | 1 |
_uhttps://www.broadbandcommission.org/Documents/working-groups/AIinHealth_Report.pdf _x0 _yAcceso al documento _qpdf |
942 |
_cINF _2udc |