Trust in Machine Learning Driven Clinical Decision Support Tools Among Otolaryngologists.

Trust in Machine Learning Driven Clinical Decision Support Tools Among Otolaryngologists.
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DOI:
10.1002/lary.31260
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发表时间:
2024-01
期刊:
The Laryngoscope
影响因子:
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通讯作者:
Han Chen;Xiaoyue Ma;Hal Rives;Aisha Serpedin;Peter Yao;A. Rameau
Han Chen;Xiaoyue Ma;Hal Rives;Aisha Serpedin;Peter Yao;A. Rameau
中科院分区:
其他
文献类型:
--
作者:
Han Chen;Xiaoyue Ma;Hal Rives;Aisha Serpedin;Peter Yao;A. Rameau

文献摘要

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机器学习驱动的临床决策支持工具(ML‐CDST)即将被整合到临床环境中,包括耳鼻咽喉头颈外科。在这项研究中,我们调查了这种CDST是否会影响耳鼻喉科医生的诊断判断。
Machine learning driven clinical decision support tools (ML‐CDST) are on the verge of being integrated into clinical settings, including in Otolaryngology‐Head & Neck Surgery. In this study, we investigated whether such CDST may influence otolaryngologists' diagnostic judgement.