• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>BMC Medical Informatics and Decision Making >Compliance with medical recommendations depending on the use of artificial intelligence as a diagnostic method
【24h】

Compliance with medical recommendations depending on the use of artificial intelligence as a diagnostic method

机译：根据使用人工智能作为诊断方法，遵守医疗建议

获取原文
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Advanced analytics, such as artificial intelligence (AI), increasingly gain relevance in medicine. However, patients’ responses to the involvement of AI in the care process remains largely unclear. The study aims to explore whether individuals were more likely to follow a recommendation when a physician used AI in the diagnostic process considering a highly (vs. less) severe disease compared to when the physician did not use AI or when AI fully replaced the physician. Participants from the USA (n?=?452) were randomly assigned to a hypothetical scenario where they imagined that they received a treatment recommendation after a skin cancer diagnosis (high vs. low severity) from a physician, a physician using AI, or an automated AI tool. They then indicated their intention to follow the recommendation. Regression analyses were used to test hypotheses. Beta coefficients (?) describe the nature and strength of relationships between predictors and outcome variables; confidence intervals [CI] excluding zero indicate significant mediation effects. The total effects reveal the inferiority of automated AI (??=?.47, p?=?.001 vs. physician; ??=?.49, p?=?.001 vs. physician using AI). Two pathways increase intention to follow the recommendation. When a physician performs the assessment (vs. automated AI), the perception that the physician is real and present (a concept called social presence) is high, which increases intention to follow the recommendation (??=?.22, 95% CI [.09; 0.39]). When AI performs the assessment (vs. physician only), perceived innovativeness of the method is high, which increases intention to follow the recommendation (??=?.15, 95% CI [??.28; ??.04]). When physicians use AI, social presence does not decrease and perceived innovativeness increases. Pairing AI with a physician in medical diagnosis and treatment in a hypothetical scenario using topical therapy and oral medication as treatment recommendations leads to a higher intention to follow the recommendation than AI on its own. The findings might help develop practice guidelines for cases where AI involvement benefits outweigh risks, such as using AI in pathology and radiology, to enable augmented human intelligence and inform physicians about diagnoses and treatments.
机译：高级分析，如人工智能（AI），越来越多地在医学中得到相关性。然而，患者对护理过程中AI的参与的响应仍然很大程度上不清楚。该研究旨在探讨个人更有可能遵循建议的推荐，当医生在诊断过程中考虑高度（与较低）的严重疾病时，与医生没有使用AI或者当AI完全取代医生时，他们相比，考虑到高度（与较少）的疾病。来自美国的参与者（N？=？452）被随机分配到一个假设的场景，在那里他们想象他们在来自医生的皮肤癌症诊断（高与低严重程度）后接受了治疗建议，使用AI的医生或自动AI工具。然后他们表示他们打算遵循该建议。回归分析用于测试假设。 Beta系数（？）描述预测器和结果变量之间的关系的性质和强度;置信区间[CI]排除零表示显着的调解效果。总效果揭示了自动化AI的自卑感（?? = ?. 47，P？= 001与医生; ?? = ?. 49，P？= 001与医生使用ai）。两个途径增加了遵循这项建议的意图。当医生执行评估（与自动AI）时，医生是真实和存在的感知（称为社会存在的概念）很高，这增加了遵循推荐的意图（?? = ?. 22,95％CI [.09; 0.39]）。当AI执行评估（仅限医生）时，这种方法的创新程度很高，这增加了遵循推荐的意图（?? = ?. 15,95％CI [??。28; 04]） 。当医生使用AI时，社会存在不会降低和感知创新程度。与医生在医疗诊断和治疗中配对AI，使用局部治疗和口腔用药作为治疗建议，遵循其自身的推荐的更高意图。这些调查结果可能有助于制定实践指导方针，其中AI参与效益超过风险，例如在病理学和放射学中使用AI，以实现增强人类智能，并通知医生诊断和治疗。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号