医学
乳房成像
人工智能
乳腺摄影术
医学物理学
乳腺癌
放射科
深度学习
医学影像学
内科学
癌症
作者
Matthew B. Morgan,Jonathan Mates
标识
DOI:10.1016/j.rcl.2020.08.007
摘要
Artificial intelligence (AI) technology shows promise in breast imaging to improve both interpretive and noninterpretive tasks. AI-based screening triage may help identify normal examinations and AI-based computer-aided detection (AI-CAD) may increase cancer detection and reduce false positives. Risk assessment, quality assurance, and other workflow tasks may also be streamlined. AI adoption will depend on robust evidence of improved quality, increased efficiency, and cost-effectiveness. Reliance on AI will likely proceed through stages and will involve careful attention to its limitations to prevent overconfidence in its application.
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