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作 者:石薇微 赵晗[1] 李柏乐 贾凌云 肖易乐 施芸帆 SHI Weiwei;ZHAO Han;LI Baile;JIA Lingyun;XIAO Yile;SHI Yunfan(Capital Medical University,Beijing 100069)
机构地区:[1]首都医科大学,北京100069
出 处:《中国科技纵横》2024年第14期146-149,共4页China Science & Technology Overview
摘 要:为了探究医学生对人工智能辅助诊断的使用及其影响因素,本文基于技术接受模型理论实践进行研究。结果表明,医学生总体上持有较乐观的态度,认为技术提升会促进其使用,风险因素并不会对他们的使用意愿产生较大影响。经后期的文献研究,提出了解决传统医疗与人工智能辅助医疗之间冲突的建议,以期使人工智能技术能够更好地服务于人类健康。In order to explore the use of artificial intelligence(AI)in medical students and its influencing factors,our group conducted a practical investigation based on the theory of technology acceptance model.The results showed that medical students were generally more optimistic,believing that technology improvement would promote their use,and risk factors would not have a large impact on their willingness to use.After the later literature research,suggestions are put forward to solve the conflict between traditional medical care and AI-assisted medical care,in order to make artificial intelligence technology better serve human health.
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