Robotics & Machine Learning Daily News2024,Issue(Jun.19) :107-108.

Findings from Zhejiang University Provides New Data about Artificial Intelligenc e (Resistance To Artificial Intelligence In Health Care: Literature Review, Conc eptual Framework, and Research Agenda)

浙江大学的研究结果提供了关于人工智能的新数据(医疗保健中对人工智能的抵制:文献综述、概念框架和研究议程)

Robotics & Machine Learning Daily News2024,Issue(Jun.19) :107-108.

Findings from Zhejiang University Provides New Data about Artificial Intelligenc e (Resistance To Artificial Intelligence In Health Care: Literature Review, Conc eptual Framework, and Research Agenda)

浙江大学的研究结果提供了关于人工智能的新数据(医疗保健中对人工智能的抵制:文献综述、概念框架和研究议程)

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摘要

由一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-关于人工智能的最新研究结果已经发表。根据来自中华人民共和国浙江的新闻报道,NewsRx记者称,“抵抗历来被认为是包括医疗信息技术在内的信息系统实施的一个突出障碍。然而,医疗保健中的人工智能(AIH)重塑了技术、医生和患者之间的关系,从而改变了抵抗的性质。”本研究的资助者包括国家自然科学基金(NSFC)、科技部(STI 2030重大项目)、联合博士研究生项目(PolyU-ZJU)领导。我们的新闻编辑引用了浙江大学的一篇研究文章:“为了全面了解这一现象,本研究通过Rev Iewing 94篇文章系统地考察了医疗服务提供者和接受者对AIH的抵抗,并结合创新抵抗理论和社会技术的观点,建立了一个综合研究和规划未来研究议程的总体框架。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Artificial In telligence have been published. According to news reporting originating from Zhe jiang, People's Republic of China, by NewsRx correspondents, research stated, "R esistance has historically been considered a salient obstacle to the implementat ion of information systems, including healthcare information technology. However , artificial intelligence in health care (AIH) reshapes the relationships among technologies, physicians, and patients, and the nature of resistance has thus be en transformed." Funders for this research include National Natural Science Foundation of China ( NSFC), Ministry of Science and Technology (STI 2030 Major Projects), Joint PhD P rogrammes (PolyU-ZJU) Leading. Our news editors obtained a quote from the research from Zhejiang University, "T o gain a comprehensive understanding of this phenomenon, this study systematical ly examines resistance to AIH across health care providers and recipients by rev iewing 94 articles. Combining innovation resistance theory and the sociotechnica l perspective, we develop an overarching framework to synthesize research and pr ovide agendas for future research."

Key words

Zhejiang/People's Republic of China/As ia/Artificial Intelligence/Emerging Technologies/Machine Learning/Zhejiang U niversity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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