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Electronic Health Records and Machine Learning for Early Detection of Lung Cancer and Other Conditions: Thinking about the Path Ahead.

作者信息

Pinsky Paul

机构信息

Division of Cancer Prevention National Cancer Institute Bethesda, Maryland.

出版信息

Am J Respir Crit Care Med. 2021 Aug 15;204(4):389-390. doi: 10.1164/rccm.202104-1009ED.

DOI:10.1164/rccm.202104-1009ED
PMID:34097833
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8480236/
Abstract
摘要

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2
Screening for Lung Cancer: US Preventive Services Task Force Recommendation Statement.肺癌筛查：美国预防服务工作组推荐声明。
JAMA. 2021 Mar 9;325(10):962-970. doi: 10.1001/jama.2021.1117.
3
Artificial Intelligence and Data Mining to Assess Lung Cancer Risk: Challenges and Opportunities.人工智能与数据挖掘评估肺癌风险：挑战与机遇
Ann Intern Med. 2020 Nov 3;173(9):760-761. doi: 10.7326/M20-5673. Epub 2020 Sep 1.
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Ann Intern Med. 2020 Nov 3;173(9):704-713. doi: 10.7326/M20-1868. Epub 2020 Sep 1.
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Lung Cancer Screening Registry Reveals Low-dose CT Screening Remains Heavily Underutilized.肺癌筛查登记处显示，低剂量 CT 筛查的使用率仍然很低。
Clin Lung Cancer. 2020 May;21(3):e206-e211. doi: 10.1016/j.cllc.2019.09.002. Epub 2019 Sep 26.
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J Allergy Clin Immunol. 2020 Feb;145(2):463-469. doi: 10.1016/j.jaci.2019.12.897. Epub 2019 Dec 26.
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Societal Issues Concerning the Application of Artificial Intelligence in Medicine.人工智能在医学应用中的社会问题。
Kidney Dis (Basel). 2019 Feb;5(1):11-17. doi: 10.1159/000492428. Epub 2018 Sep 3.
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