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利用人工智能改善中国的医疗服务。

Using artificial intelligence to improve medical services in China.

作者信息

Li Ruiyang, Yang Yahan, Wu Shaolong, Huang Kai, Chen Weirong, Liu Yizhi, Lin Haotian

机构信息

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

School of Public Health, Sun Yat-sen University, Guangzhou, China.

出版信息

Ann Transl Med. 2020 Jun;8(11):711. doi: 10.21037/atm.2019.11.108.

DOI:10.21037/atm.2019.11.108
PMID:32617331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7327308/
Abstract

Artificial intelligence (AI) is one hotspot of research in the field of modern medical technology. Medical AI has been applied to various areas and has two main branches including virtual and physical. Recently, Chinese State Council issued a guideline on developing AI and indicated that the widespread application of AI will improve the level of precision in medical services and achieve the intelligent medical care. Medical resources, especially the high-quality resources, are deficient across the entire health service system in China. AI technologies, such that virtual AI and telemedical technology, are expected to overcome the current limitations of the distribution of medical resources and relieve the pressure associated with obtaining high-quality health care.

摘要

人工智能(AI)是现代医学技术领域的研究热点之一。医学人工智能已应用于各个领域,主要有虚拟和实体两个分支。最近,中国国务院发布了一项关于发展人工智能的指导意见,并指出人工智能的广泛应用将提高医疗服务的精准水平,实现智能医疗。在中国,整个医疗卫生服务体系中的医疗资源,尤其是优质资源短缺。诸如虚拟人工智能和远程医疗技术等人工智能技术有望克服当前医疗资源分配的局限性,并缓解获得高质量医疗保健相关的压力。

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Cost-Effectiveness of Telemedicine in Remote Orthopedic Consultations: Randomized Controlled Trial.远程骨科会诊中远程医疗的成本效益:随机对照试验
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How Difficult Doctor‒Patient Relationships Impair Physicians' Work Engagement: The Roles of Prosocial Motivation and Problem-Solving Pondering.医患关系紧张如何损害医生的工作投入:亲社会动机和问题解决思考的作用。
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