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Implementation of artificial intelligence in medicine: Status analysis and development suggestions

机译：医学人工智能的实施：现状分析与发展建议

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The general public's attitudes, demands, and expectations regarding medical AI could provide guidance for the future development of medical AI to satisfy the increasing needs of doctors and patients. The objective of this study is to investigate public perceptions, receptivity, and demands regarding the implementation of medical AI. An online questionnaire was designed to investigate the perceptions, receptivity, and demands of general public regarding medical AI between October 13 and October 30, 2018. The distributions of the current achievements, public perceptions, receptivity, and demands among individuals in different lines of work (i.e., healthcare vs non-healthcare) and different age groups were assessed by performing descriptive statistics. The factors associated with public receptivity of medical AI were assessed using a linear regression model. In total, 2,780 participants from 22 provinces were enrolled. Healthcare workers accounted for 54.3 % of all participants. There was no significant difference between the healthcare workers and non-healthcare workers in the high proportion (99 %) of participants expressing acceptance of AI (p = 0.8568), but remarkable distributional differences were observed in demands (p < 0.001 for both demands for AI assistance and the desire for AI improvements) and perceptions (p < 0.001 for safety, validity, trust, and expectations). High levels of receptivity (approximately 100 %), demands (approximately 80 %), and expectations (100 %) were expressed among different age groups. The receptivity of medical AI among the non-healthcare workers was associated with gender, educational qualifications, and demands and perceptions of AI. There was a very large gap between current availability of and public demands for intelligence services (p < 0.001). More than 90 % of healthcare workers expressed a willingness to devote time to learning about AI and participating in AI research. The public exhibits a high level of receptivity regarding the implementation of medical AI. To date, the achievements have been rewarding, and further advancements are required to satisfy public demands. There is a strong demand for intelligent assistance in many medical areas, including imaging and pathology departments, outpatient services, and surgery. More contributions are imperative to facilitate integrated and advantageous implementation in medical AI.
机译：公众对医疗AI的态度，要求和期望可以为医疗AI的未来发展提供指导，以满足医生和患者不断增长的需求。这项研究的目的是调查公众对医疗AI实施的看法，接受度和需求。设计了一个在线调查表，以调查2018年10月13日至10月30日期间公众对医学AI的看法，接受度和需求。不同工作领域的个人之间当前成就，公众看法，接受度和需求的分布（即医疗保健与非医疗保健）和不同年龄段的人群均通过描述性统计数据进行了评估。使用线性回归模型评估与医疗AI的公众接受度相关的因素。共有22个省的2780名参与者参加。医护人员占所有参与者的54.3％。在接受AI的参与者中，高比例（99％）的医护人员和非医护人员之间没有显着差异（p = 0.8568），但是在需求方面观察到显着的分布差异（p <0.001 AI辅助和对AI改进的渴望）和感知（对于安全性，有效性，信任和期望，p <0.001）。不同年龄段的人的接受程度高（约100％），需求量（约80％）和期望值（100％）。非医疗工作者对医疗AI的接受程度与性别，教育资格以及对AI的要求和看法有关。当前的可用性与公众对情报服务的需求之间存在很大差距（p <0.001）。超过90％的医护人员表示愿意花费时间来学习AI并参与AI研究。公众对医疗AI的实施表现出很高的接受度。迄今为止，成就令人鼓舞，需要进一步的进步来满足公众的需求。在许多医疗领域，包括成像和病理科，门诊服务和外科手术，都强烈需要智能协助。当务之急是要促进医疗AI的集成化和有利实施。

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