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Artificial Intelligence and Health Equity: Opportunities and Obstacles.

作者信息

Deo Rahul C

机构信息

Division of Cardiovascular Medicine for Brigham and Women's, Department of Medicine for Harvard Medical School, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Atman Health, Inc, Needham Heights, Massachusetts, USA.

出版信息

JACC Adv. 2024 Jul 3;3(9):101045. doi: 10.1016/j.jacadv.2024.101045. eCollection 2024 Sep.

DOI:10.1016/j.jacadv.2024.101045
PMID:39372453
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11450931/
Abstract
摘要

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Considerations for addressing bias in artificial intelligence for health equity.解决人工智能中影响健康公平性的偏差的考量因素。
NPJ Digit Med. 2023 Sep 12;6(1):170. doi: 10.1038/s41746-023-00913-9.
3
Accuracy of a Generative Artificial Intelligence Model in a Complex Diagnostic Challenge.生成式人工智能模型在复杂诊断挑战中的准确性。
JAMA. 2023 Jul 3;330(1):78-80. doi: 10.1001/jama.2023.8288.
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Impact of Socioeconomic Status on Mortality and Readmission in Patients With Heart Failure With Reduced Ejection Fraction: The ARIC Study.社会经济地位对射血分数降低的心力衰竭患者死亡率和再入院率的影响:ARIC 研究。
J Am Heart Assoc. 2022 Sep 20;11(18):e024057. doi: 10.1161/JAHA.121.024057. Epub 2022 Sep 14.
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Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms.利用心电图和超声心动图进行人工智能辅助的心脏淀粉样变性全自动检测。
Nat Commun. 2021 May 11;12(1):2726. doi: 10.1038/s41467-021-22877-8.
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Why is misdiagnosis more likely among some people with rare diseases than others? Insights from a population-based cross-sectional study in China.为什么一些罕见病患者比其他人更容易误诊?基于中国人群的横断面研究的见解。
Orphanet J Rare Dis. 2020 Oct 28;15(1):307. doi: 10.1186/s13023-020-01587-2.
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Perceived barriers to guideline adherence: a survey among general practitioners.医生对指南依从性的认知障碍:一项针对全科医生的调查。
BMC Fam Pract. 2011 Sep 22;12:98. doi: 10.1186/1471-2296-12-98.
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Scientific evidence underlying the ACC/AHA clinical practice guidelines.美国心脏病学会/美国心脏协会临床实践指南的科学依据。
JAMA. 2009 Feb 25;301(8):831-41. doi: 10.1001/jama.2009.205.