Identifying Ethical Considerations for Machine Learning Healthcare Applications
Author:
Affiliation:
1. Stanford University School of Medicine
2. University of Iowa
3. Digital Diagnostics
4. The University of Pennsylvania
5. The Children’s Hospital of Philadelphia
Funder
National Institutes of Health
Publisher
Informa UK Limited
Subject
Health Policy,Issues, ethics and legal aspects
Link
https://www.tandfonline.com/doi/pdf/10.1080/15265161.2020.1819469
Reference57 articles.
1. The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review
2. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
3. Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges
4. Angwin, J., J. Larson, S. Mattu, and L. Kirchner. 2016. Machine bias: There’s software used across the country to predict future criminals. And it’s biased against blacks. ProPublica. May 23, 2016. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing.
5. The need for uncertainty quantification in machine-assisted medical decision making
Cited by 147 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Artificial intelligence in healthcare institutions: A systematic literature review on influencing factors;Technology in Society;2024-03
2. Machine Learning for Smart Health Services in the Framework of Industry 5.0;Infrastructure Possibilities and Human-Centered Approaches With Industry 5.0;2024-01-25
3. Scoping Review of Deep Learning Techniques for Diagnosis, Drug Discovery, and Vaccine Development in Leishmaniasis;Transboundary and Emerging Diseases;2024-01-17
4. Technological paradoxes and artificial intelligence implementation in healthcare. An application of paradox theory;Technological Forecasting and Social Change;2024-01
5. SmartWear body sensors for neurological and neurosurgical patients: A review of current and future technologies;World Neurosurgery: X;2024-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3