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008 210614s2021 fra o i|0| 0 eng d
024 _2doi
_a10.1787/3f62817d-en
040 _aES-MaONT
100 _94362
_aOliveira Hashiguchi, Tiago Cravo
245 1 0 _aLaying the foundations for artificial intelligence in health
_c/ Tiago Cravo Oliveira Hashiguchi, Luke Slawomirski and Jillian Oderkirk
260 _aParis :
_bOECD Publishing,
_c2021
300 _a33 p.
_c; 1 documento PDF
336 _atexto (visual)
_2isbdcontent
337 _aelectrónico
_2isbdmedia
338 _arecurso en línea
_2rdacarrier
490 1 _aOECD Health Working Papers ;
_vNo. 128
504 _aBibliografía: 26-31
520 _aArtificial intelligence (AI) has the potential to make health care more effective, efficient and equitable. AI applications are on the rise, from clinical decision-making and public health, to biomedical research and drug development, to health system administration and service redesign. The COVID-19 pandemic is serving as a catalyst, yet it is also a reality check, highlighting the limits of existing AI systems. In the real world, health data are not always available, standardised, or easily shared. Limited data hinders the ability of AI tools to generate accurate information for diverse populations with potentially very complex conditions. broadly, policy makers should work towards implementing and operationalising the OECD AI Principles, as well as investing in technology and human capital. Strong policy frameworks based on inclusive and extensive dialogue among all stakeholders are also key to ensure AI adds value to patients and to societies. AI that influences clinical and public health decisions should be introduced with care.
650 7 _aSanidad digital
_2
_92065
650 0 _aInteligencia Artificial
_94348
653 _aatención médica
653 _aIA
653 _asalud
653 _aCOVID-19
700 2 _95086
_aSlawomirski, Luke
700 2 _95087
_aOderkirk, Jillian
710 _aOrganización de Cooperación y Desarrollo Económico
_92843
830 0 _aOECD Health Working Papers
_93592
856 4 0 _uhttps://www.oecd-ilibrary.org/docserver/3f62817d-en.pdf?expires=1623666438&id=id&accname=guest&checksum=459049001A0AA4A281102985A86DBD7B
_yAcceso al documento
_x0
_qpdf
942 _cINF
_2z