Artificial Intelligence for Breast Ultrasound: Will It Impact Radiologists' Accuracy?
作者信息
Bahl Manisha
机构信息
Massachusetts General Hospital, Department of Radiology, Boston, MA, USA.
出版信息
J Breast Imaging. 2021 Apr 26;3(3):312-314. doi: 10.1093/jbi/wbab022. eCollection 2021 May-Jun.
Abstract
摘要
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Using Time as a Measure of Impact for AI Systems: Implications in Breast Screening.将时间用作人工智能系统影响的衡量标准：对乳腺筛查的启示。
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Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses.基于深度学习的计算机辅助诊断在乳腺超声筛查中减少假阳性诊断。
Sci Rep. 2021 Jan 11;11(1):395. doi: 10.1038/s41598-020-79880-0.
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One step further into the blackbox: a pilot study of how to build more confidence around an AI-based decision system of breast nodule assessment in 2D ultrasound.更进一步走进黑箱：一个试点研究，探讨如何在二维超声中建立基于人工智能的乳腺结节评估决策系统的信心。
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