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| 003 | | OCoLC |
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| 007 | | cr cnu---unuuu |
| 008 | | 231115s2023 dcu o 000 0 eng d |
| 020 | |
▼a 9780309705165
▼q (electronic bk.) |
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▼a 0309705169
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▼2 23/eng/20231116 |
| 245 | 00 |
▼a Artificial intelligence in health care :
▼b the hope, the hype, the promise, the peril /
▼c Michael Matheny, Sonoo Thadaney Israni, Mahnoor Ahmed, and Danielle Whicher, editors. |
| 264 | 1 |
▼a Washington, DC :
▼b National Academy of Medicine,
▼c [2023] |
| 300 | |
▼a 1 online resource (294 pages) |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
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▼a computer
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▼2 rdamedia |
| 338 | |
▼a online resource
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▼a The learning health system series |
| 520 | |
▼a The emergence of artificial intelligence (AI) in health care offers unprecedented opportunities to improve patient and clinical team outcomes, reduce costs, and impact population health. While there have been a number of promising examples of AI applications in health care, it is imperative to proceed with caution or risk the potential of user disillusionment, another AI winter, or further exacerbation of existing health- and technology-driven disparities.This Special Publication synthesizes current knowledge to offer a reference document for relevant health care stakeholders. It outlines the current and near-term AI solutions; highlights the challenges, limitations, and best practices for AI development, adoption, and maintenance; offers an overview of the legal and regulatory landscape for AI tools designed for health care application; prioritizes the need for equity, inclusion, and a human rights lens for this work; and outlines key considerations for moving forward.AI is poised to make transformative and disruptive advances in health care, but it is prudent to balance the need for thoughtful, inclusive health care AI that plans for and actively manages and reduces potential unintended consequences, while not yielding to marketing hype and profit motives. |
| 588 | 0 |
▼a Print version record. |
| 590 | |
▼a WorldCat record variable field(s) change: 050, 082, 650 |
| 650 | 0 |
▼a Artificial intelligence
▼x Medical applications. |
| 650 | 0 |
▼a Medical care
▼x Data processing. |
| 700 | 1 |
▼a Matheny, Michael,
▼e editor. |
| 700 | 1 |
▼a Israni, Sonoo Thadaney,
▼e editor. |
| 700 | 1 |
▼a Ahmed, Mahnoor,
▼e editor. |
| 700 | 1 |
▼a Whicher, Danielle,
▼e editor. |
| 710 | 2 |
▼a National Academy of Medicine (U.S.),
▼e issuing body. |
| 776 | 08 |
▼i Print version:
▼a National Academy of Medicine.
▼t Artificial Intelligence in Health Care.
▼d Washington, D.C. National Academies Press 2023
▼z 0309705134
▼w (OCoLC)1402180885 |
| 830 | 0 |
▼a Learning healthcare system series. |
| 856 | 40 |
▼3 EBSCOhost
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▼a 관리자 |
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▼a 92
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