• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

美国公众对医疗人工智能的看法。

American public opinion on artificial intelligence in healthcare.

机构信息

Department of Sociology, Stony Brook University, Stony Brook, New York, United States of America.

Department of Computer Science, Stony Brook University, Stony Brook, New York, United States of America.

出版信息

PLoS One. 2023 Nov 9;18(11):e0294028. doi: 10.1371/journal.pone.0294028. eCollection 2023.

DOI:10.1371/journal.pone.0294028
PMID:37943752
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10635466/
Abstract

Billions of dollars are being invested into developing medical artificial intelligence (AI) systems and yet public opinion of AI in the medical field seems to be mixed. Although high expectations for the future of medical AI do exist in the American public, anxiety and uncertainty about what it can do and how it works is widespread. Continuing evaluation of public opinion on AI in healthcare is necessary to ensure alignment between patient attitudes and the technologies adopted. We conducted a representative-sample survey (total N = 203) to measure the trust of the American public towards medical AI. Primarily, we contrasted preferences for AI and human professionals to be medical decision-makers. Additionally, we measured expectations for the impact and use of medical AI in the future. We present four noteworthy results: (1) The general public strongly prefers human medical professionals make medical decisions, while at the same time believing they are more likely to make culturally biased decisions than AI. (2) The general public is more comfortable with a human reading their medical records than an AI, both now and "100 years from now." (3) The general public is nearly evenly split between those who would trust their own doctor to use AI and those who would not. (4) Respondents expect AI will improve medical treatment but more so in the distant future than immediately.

摘要

数十亿美元正投入到开发医学人工智能(AI)系统中,但公众对医学领域 AI 的看法似乎褒贬不一。尽管美国公众对医学 AI 的未来抱有很高的期望,但对其能做什么以及如何运作的焦虑和不确定性却普遍存在。为了确保患者态度与采用的技术保持一致,有必要持续评估公众对医疗 AI 的看法。我们进行了一项具有代表性的样本调查(总样本量为 203 人),以衡量美国公众对医疗 AI 的信任度。首先,我们对比了公众对 AI 和人类专业人员作为医疗决策者的偏好。此外,我们还衡量了对未来医疗 AI 的影响和使用的期望。我们提出了四个值得注意的结果:(1)公众强烈倾向于由人类医疗专业人员做出医疗决策,尽管他们同时认为人类专业人员比 AI 更有可能做出带有文化偏见的决策。(2)公众现在和“100 年后”都更愿意让人类医生读取他们的医疗记录,而不是让 AI 读取。(3)在是否信任自己的医生使用 AI 方面,受访者几乎平分秋色。(4)受访者期望 AI 将改善医疗,但更多的是在遥远的未来,而不是现在。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/9f03290d2325/pone.0294028.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/0957f3c854bc/pone.0294028.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/bb6f798d59c2/pone.0294028.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/0b5d57e575c9/pone.0294028.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/50e4322c0339/pone.0294028.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/66725a79b25e/pone.0294028.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/9f03290d2325/pone.0294028.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/0957f3c854bc/pone.0294028.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/bb6f798d59c2/pone.0294028.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/0b5d57e575c9/pone.0294028.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/50e4322c0339/pone.0294028.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/66725a79b25e/pone.0294028.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7d/10635466/9f03290d2325/pone.0294028.g006.jpg

相似文献

1
American public opinion on artificial intelligence in healthcare.美国公众对医疗人工智能的看法。
PLoS One. 2023 Nov 9;18(11):e0294028. doi: 10.1371/journal.pone.0294028. eCollection 2023.
2
Public perceptions of artificial intelligence in healthcare: ethical concerns and opportunities for patient-centered care.公众对医疗保健领域人工智能的看法:关注伦理问题,以实现以患者为中心的护理。
BMC Med Ethics. 2024 Jun 22;25(1):74. doi: 10.1186/s12910-024-01066-4.
3
Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey.人群对医疗人工智能性能和可解释性的偏好:基于选择的联合调查。
J Med Internet Res. 2021 Dec 13;23(12):e26611. doi: 10.2196/26611.
4
Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care.沙特公众对医疗保健领域人工智能的看法和意见评估。
Medicina (Kaunas). 2024 Jun 4;60(6):938. doi: 10.3390/medicina60060938.
5
Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review.美国公众对医疗保健领域人工智能认知的调查:系统综述。
J Med Internet Res. 2023 Apr 4;25:e40337. doi: 10.2196/40337.
6
Implementation of artificial intelligence in medicine: Status analysis and development suggestions.人工智能在医学中的应用:现状分析与发展建议。
Artif Intell Med. 2020 Jan;102:101780. doi: 10.1016/j.artmed.2019.101780. Epub 2019 Dec 18.
7
Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media.公众对医疗人工智能的看法:社交媒体的内容分析。
J Med Internet Res. 2020 Jul 13;22(7):e16649. doi: 10.2196/16649.
8
Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis.公众对人工智能在医疗保健中应用的看法:定性元分析。
BMJ Open. 2023 Jan 4;13(1):e066322. doi: 10.1136/bmjopen-2022-066322.
9
Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke.对医疗人工智能的期望和态度:中风领域的定性研究。
PLoS One. 2023 Jan 11;18(1):e0279088. doi: 10.1371/journal.pone.0279088. eCollection 2023.
10
Should AI allocate livers for transplant? Public attitudes and ethical considerations.人工智能是否应该分配肝脏进行移植?公众态度和伦理考虑。
BMC Med Ethics. 2023 Nov 27;24(1):102. doi: 10.1186/s12910-023-00983-0.

引用本文的文献

1
Advancing artificial intelligence ethics in health and genomics: lessons from a public survey in South Korea.推进健康与基因组学领域的人工智能伦理:来自韩国一项公众调查的经验教训。
Front Genet. 2025 Jul 9;16:1563544. doi: 10.3389/fgene.2025.1563544. eCollection 2025.
2
Exploring Opportunities and Challenges of AI in Primary Healthcare: A Qualitative Study with Family Doctors in Lithuania.探索人工智能在基层医疗保健中的机遇与挑战:对立陶宛家庭医生的定性研究
Healthcare (Basel). 2025 Jun 14;13(12):1429. doi: 10.3390/healthcare13121429.
3
Traumatic Brain Injury and Artificial Intelligence: Shaping the Future of Neurorehabilitation-A Review.

本文引用的文献

1
Application of artificial intelligence in wearable devices: Opportunities and challenges.人工智能在可穿戴设备中的应用:机遇与挑战。
Comput Methods Programs Biomed. 2022 Jan;213:106541. doi: 10.1016/j.cmpb.2021.106541. Epub 2021 Nov 17.
2
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review.患者和公众对临床人工智能的态度:一项混合方法系统评价。
Lancet Digit Health. 2021 Sep;3(9):e599-e611. doi: 10.1016/S2589-7500(21)00132-1.
3
Intentional machines: A defence of trust in medical artificial intelligence.
创伤性脑损伤与人工智能:塑造神经康复的未来——综述
Life (Basel). 2025 Mar 7;15(3):424. doi: 10.3390/life15030424.
4
A critical look into artificial intelligence and healthcare disparities.审视人工智能与医疗保健差距
Front Artif Intell. 2025 Mar 6;8:1545869. doi: 10.3389/frai.2025.1545869. eCollection 2025.
5
AI recommendation vs. crowdsourced recommendation vs. travel expert recommendation: The moderating role of consumption goal on travel destination decision.人工智能推荐与众包推荐对比旅行专家推荐:消费目标在旅行目的地决策中的调节作用
PLoS One. 2025 Mar 19;20(3):e0318719. doi: 10.1371/journal.pone.0318719. eCollection 2025.
6
Assessing Yemeni university students' public perceptions toward the use of artificial intelligence in healthcare.评估也门大学生对人工智能在医疗保健中应用的公众看法。
Sci Rep. 2024 Nov 16;14(1):28299. doi: 10.1038/s41598-024-80203-w.
7
Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use.基于机器学习的预测模型在肾脏疾病医疗决策中的应用:患者、护理人员及临床医生对信任及合理使用的看法
J Am Med Inform Assoc. 2025 Jan 1;32(1):51-62. doi: 10.1093/jamia/ocae255.
8
Assessing Public Knowledge and Acceptance of Using Artificial Intelligence Doctors as a Partial Alternative to Human Doctors in Saudi Arabia: A Cross-Sectional Study.评估沙特阿拉伯公众对使用人工智能医生作为人类医生部分替代方案的认知与接受度:一项横断面研究。
Cureus. 2024 Jul 13;16(7):e64461. doi: 10.7759/cureus.64461. eCollection 2024 Jul.
9
"How I would like AI used for my imaging": children and young persons' perspectives.“我希望人工智能如何应用于我的影像诊断”:儿童和青少年的观点。
Eur Radiol. 2024 Dec;34(12):7751-7764. doi: 10.1007/s00330-024-10839-9. Epub 2024 Jun 20.
有意机器:对医疗人工智能的信任辩护。
Bioethics. 2022 Feb;36(2):154-161. doi: 10.1111/bioe.12891. Epub 2021 Jun 18.
4
Artificial Intelligence and technology in COVID Era: A narrative review.新冠疫情时代的人工智能与技术:一篇叙述性综述
J Anaesthesiol Clin Pharmacol. 2021 Jan-Mar;37(1):28-34. doi: 10.4103/joacp.JOACP_558_20. Epub 2021 Apr 10.
5
The role of artificial intelligence in healthcare: a structured literature review.人工智能在医疗保健中的作用:一项结构化文献综述。
BMC Med Inform Decis Mak. 2021 Apr 10;21(1):125. doi: 10.1186/s12911-021-01488-9.
6
Trust in artificial intelligence for medical diagnoses.对人工智能在医学诊断中的信任。
Prog Brain Res. 2020;253:263-282. doi: 10.1016/bs.pbr.2020.06.006. Epub 2020 Jul 2.
7
Use of AI-based tools for healthcare purposes: a survey study from consumers' perspectives.基于人工智能的工具在医疗保健方面的应用:一项来自消费者视角的调查研究。
BMC Med Inform Decis Mak. 2020 Jul 22;20(1):170. doi: 10.1186/s12911-020-01191-1.
8
Medical Student Perspectives on the Impact of Artificial Intelligence on the Practice of Medicine.医学生对人工智能对医学实践影响的看法。
Curr Probl Diagn Radiol. 2021 Sep-Oct;50(5):614-619. doi: 10.1067/j.cpradiol.2020.06.011. Epub 2020 Jun 27.
9
Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media.公众对医疗人工智能的看法:社交媒体的内容分析。
J Med Internet Res. 2020 Jul 13;22(7):e16649. doi: 10.2196/16649.
10
Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors.人工智能和连续血糖监测传感器在糖尿病管理中的应用。
Sensors (Basel). 2020 Jul 10;20(14):3870. doi: 10.3390/s20143870.