New Artificial Intelligence Findings from University of British Columbia Described (The Untapped Potential of Nursing and Allied Health Data for Improved Representation of Social Determinants of Health and Intersectionality in Artificial …)

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New Artificial Intelligence Findings from University of British Columbia Described (The Untapped Potential of Nursing and Allied Health Data for Improved Representation of Social Determinants of Health and Intersectionality in Artificial …)

机译：不列颠哥伦比亚大学（University of British Columbia）的新人工智能发现（护理和联合健康数据的未开发潜力，以改善人工智能中健康的社会决定因素和交叉性的代表性......

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingfrom Kelowna, Canada, by NewsRx journalists, research stated, “The objective of this paper is todraw attention to the currently underused potential of clinical documentation by nursing and allied healthprofessions to improve the representation of social determinants of health (SDoH) and intersectionalitydata in electronic health records (EHRs), towards the development of equitable artificial intelligence (AI)technologies.”

机译：机器人技术与新闻记者新闻编辑机器学习日常调查人员在人工讨论新发现情报。基隆拿,加拿大NewsRx记者、研究说:“这篇论文的目的是关注当前的未充分利用的潜力临床护理和盟军的文档健康健康的社会决定因素(SDoH)和交集记录(EHRs)的发展公平的人工智能(AI)

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《Robotics & Machine Learning Daily News》 |2022年第17期|52-53|共2页
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机译：Malardalen University Reports Findings in Artificial Intelligence (Artificial Intelligence and Precision Health Through Lenses of Ethics and Social Determinants of Health: Protocol for a State-of-the-Art Literature Review)
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机译：University of British Columbia Reports Findings in Artificial Intelligence (Health Care Students’ Perspectives on Artificial Intelligence: Countrywide Survey in Canada)
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机译：Study Findings on Artificial Intelligence Are Outlined in Reports from University of British Columbia (Artificial Intelligence, Algorithms, and Social Inequality: Sociological Contributions To Contemporary Debates)

New Artificial Intelligence Findings from University of British Columbia Described (The Untapped Potential of Nursing and Allied Health Data for Improved Representation of Social Determinants of Health and Intersectionality in Artificial …)

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