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10.1016/B978-0-12-818438-7.00012-5 http://scihub22266oqcxt.onion/10.1016/B978-0-12-818438-7.00012-5 C7332220!7332220!C7332220     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=C7332220&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Artificial+Intelligence+in+Healthcare 2020 ; ä (ä): 295-336 Nephropedia Template TP {{tp|p=C7332220|t=2020. Ethical and legal challenges of artificial intelligence-driven healthcare |pdf=|usr=}}{{C7332220}} gab.com Text Ethical and legal challenges of artificial intelligence-driven healthcare JO: Artificial Intelligence in Healthcare http://www.kidney.de/pget.php?&tw=1&pmid=C7332220 #FOAvip This chapter will map the ethical and legal challenges posed by artificial intelligence (AI) in healthcare and suggest directions for resolving them. Section 1 will briefly clarify what AI is and Section 2 will give an idea of the trends and strategies in the United States (US) and Europe, thereby tailoring the discussion to the ethical and legal debate of AI-driven healthcare. This will be followed in Section 3 by a discussion of four primary ethical challenges, namely, (1) informed consent to use, (2) safety and transparency, (3) algorithmic fairness and biases, and (4) data privacy. Section 4 will then analyze five legal challenges in the US and Europe: (1) safety and effectiveness, (2) liability, (3) data protection and privacy, (4) cybersecurity, and (5) intellectual property law. Finally, Section 5 will summarize the major conclusions and especially emphasize the importance of building an AI-driven healthcare system that is successful and promotes trust and the motto Health AIs for All of Us. Twit Text FOAVip Ethical and legal challenges of artificial intelligence-driven healthcare ????Artificial Intelligence in Healthcare http://www.kidney.de/pget.php?&tw=1&pmid=C7332220 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=C7332220 #FOAvip English Wikipedia <ref>{{Cite pmid|C7332220}}</ref> Ethical and legal challenges of artificial intelligence-driven healthcare #MMPMIDC7332220 Gerke S; Minssen T; Cohen G Artificial Intelligence in Healthcare 2020[]; ä (ä): 295-336 PMIDC7332220show ga This chapter will map the ethical and legal challenges posed by artificial intelligence (AI) in healthcare and suggest directions for resolving them. Section 1 will briefly clarify what AI is and Section 2 will give an idea of the trends and strategies in the United States (US) and Europe, thereby tailoring the discussion to the ethical and legal debate of AI-driven healthcare. This will be followed in Section 3 by a discussion of four primary ethical challenges, namely, (1) informed consent to use, (2) safety and transparency, (3) algorithmic fairness and biases, and (4) data privacy. Section 4 will then analyze five legal challenges in the US and Europe: (1) safety and effectiveness, (2) liability, (3) data protection and privacy, (4) cybersecurity, and (5) intellectual property law. Finally, Section 5 will summarize the major conclusions and especially emphasize the importance of building an AI-driven healthcare system that is successful and promotes trust and the motto Health AIs for All of Us. äEthical and legal challenges of artificial intelligence-driven healthc(epmc).pdf DeepDyve Pubget Overpricing