在医疗保健中使用人工智能时，知识并不是你所需要的全部。

IF 3.9 3区医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Public Health Pub Date : 2025-01-01 DOI:10.1016/j.puhe.2024.11.019

Anson Kwok Choi Li , Ijaz A. Rauf , Karim Keshavjee

{"title":"在医疗保健中使用人工智能时，知识并不是你所需要的全部。","authors":"Anson Kwok Choi Li , Ijaz A. Rauf , Karim Keshavjee","doi":"10.1016/j.puhe.2024.11.019","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>The adoption of artificial intelligence (AI) in healthcare is rapidly expanding, transforming areas such as diagnostics, drug discovery, and patient monitoring. Despite these advances, public perceptions of AI in healthcare, particularly in Canada, remain underexplored. This study investigates the relationship between Canadians' knowledge, comfort, and trust in AI, focusing on key sociodemographic factors like age, gender, education, and income.</div></div><div><h3>Study design</h3><div>Cross-sectional study.</div></div><div><h3>Methods</h3><div>Using data from the 2021 Canadian Digital Health Survey of 12,052 respondents, we employed ordinal logistic and multivariate polynomial regression analyses to uncover trends and disparities.</div></div><div><h3>Results</h3><div>Findings reveal that women and older adults consistently report lower levels of knowledge and comfort with AI, with middle-aged women expressing the most significant discomfort. Comfort levels are closely tied to concerns over data privacy, especially regarding the use of identifiable personal health data. Healthcare professionals exhibited heightened discomfort with AI, indicating potential issues with trust in AI's reliability and ethical governance.</div></div><div><h3>Conclusions</h3><div>Our results underscore that increasing knowledge alone does not necessarily lead to greater comfort with AI in healthcare. Addressing public concerns through robust data governance, transparency, and inclusive AI design is essential to fostering trust and successful integration of AI in healthcare systems.</div></div>","PeriodicalId":49651,"journal":{"name":"Public Health","volume":"238 ","pages":"Pages 254-259"},"PeriodicalIF":3.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Knowledge is not all you need for comfort in use of AI in healthcare\",\"authors\":\"Anson Kwok Choi Li , Ijaz A. Rauf , Karim Keshavjee\",\"doi\":\"10.1016/j.puhe.2024.11.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>The adoption of artificial intelligence (AI) in healthcare is rapidly expanding, transforming areas such as diagnostics, drug discovery, and patient monitoring. Despite these advances, public perceptions of AI in healthcare, particularly in Canada, remain underexplored. This study investigates the relationship between Canadians' knowledge, comfort, and trust in AI, focusing on key sociodemographic factors like age, gender, education, and income.</div></div><div><h3>Study design</h3><div>Cross-sectional study.</div></div><div><h3>Methods</h3><div>Using data from the 2021 Canadian Digital Health Survey of 12,052 respondents, we employed ordinal logistic and multivariate polynomial regression analyses to uncover trends and disparities.</div></div><div><h3>Results</h3><div>Findings reveal that women and older adults consistently report lower levels of knowledge and comfort with AI, with middle-aged women expressing the most significant discomfort. Comfort levels are closely tied to concerns over data privacy, especially regarding the use of identifiable personal health data. Healthcare professionals exhibited heightened discomfort with AI, indicating potential issues with trust in AI's reliability and ethical governance.</div></div><div><h3>Conclusions</h3><div>Our results underscore that increasing knowledge alone does not necessarily lead to greater comfort with AI in healthcare. Addressing public concerns through robust data governance, transparency, and inclusive AI design is essential to fostering trust and successful integration of AI in healthcare systems.</div></div>\",\"PeriodicalId\":49651,\"journal\":{\"name\":\"Public Health\",\"volume\":\"238 \",\"pages\":\"Pages 254-259\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0033350624004918\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0033350624004918","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}

引用次数: 0

摘要

目标：人工智能（AI）在医疗保健领域的应用正在迅速扩大，正在改变诊断、药物发现和患者监测等领域。尽管取得了这些进步，但公众对人工智能在医疗保健领域的看法，尤其是在加拿大，仍未得到充分探讨。这项研究调查了加拿大人对人工智能的了解、舒适和信任之间的关系，重点关注年龄、性别、教育和收入等关键社会人口因素。研究设计：横断面研究。方法：使用来自2021年加拿大数字健康调查的12,052名受访者的数据，我们采用有序逻辑和多元多项式回归分析来揭示趋势和差异。结果：研究结果显示，女性和老年人对人工智能的了解程度和舒适度一直较低，中年女性表现出最明显的不适。舒适度与对数据隐私的关切密切相关，特别是在使用可识别的个人健康数据方面。医疗保健专业人员对人工智能表现出高度的不安，表明对人工智能可靠性和道德治理的信任存在潜在问题。结论：我们的研究结果强调，仅仅增加知识并不一定会使人工智能在医疗保健中更加舒适。通过强有力的数据治理、透明度和包容性的人工智能设计来解决公众关注的问题，对于促进信任和人工智能在医疗系统中的成功整合至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Knowledge is not all you need for comfort in use of AI in healthcare

Objectives

The adoption of artificial intelligence (AI) in healthcare is rapidly expanding, transforming areas such as diagnostics, drug discovery, and patient monitoring. Despite these advances, public perceptions of AI in healthcare, particularly in Canada, remain underexplored. This study investigates the relationship between Canadians' knowledge, comfort, and trust in AI, focusing on key sociodemographic factors like age, gender, education, and income.

Study design

Cross-sectional study.

Methods

Using data from the 2021 Canadian Digital Health Survey of 12,052 respondents, we employed ordinal logistic and multivariate polynomial regression analyses to uncover trends and disparities.

Results

Findings reveal that women and older adults consistently report lower levels of knowledge and comfort with AI, with middle-aged women expressing the most significant discomfort. Comfort levels are closely tied to concerns over data privacy, especially regarding the use of identifiable personal health data. Healthcare professionals exhibited heightened discomfort with AI, indicating potential issues with trust in AI's reliability and ethical governance.

Conclusions

Our results underscore that increasing knowledge alone does not necessarily lead to greater comfort with AI in healthcare. Addressing public concerns through robust data governance, transparency, and inclusive AI design is essential to fostering trust and successful integration of AI in healthcare systems.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Public Health 医学-公共卫生、环境卫生与职业卫生

CiteScore

7.60

自引率

0.00%

发文量

280

审稿时长

37 days

期刊介绍： Public Health is an international, multidisciplinary peer-reviewed journal. It publishes original papers, reviews and short reports on all aspects of the science, philosophy, and practice of public health.