TY - JOUR AU - Istasy, Paul AU - Lee, Wen Shen AU - Iansavichene,真主安拉AU - Upshur, Ross AU - Gyawali, Bishal AU - Burkell, Jacquelyn AU - Sadikovic, Bekim AU - Lazo-Langner, Alejandro AU - Chin-Yee, Benjamin PY - 2022 DA - 2022/11/1 TI -人工智能对肿瘤健康公平的影响:范围审查JO - J医疗互联网Res SP - e39748 VL - 24is - 11kw -人工智能KW - eHealth KW -数字健康KW -机器学习KW -肿瘤KW -癌症KW -健康公平KW -健康差距KW -偏误KW -全球健康KW -公共卫生KW -癌症流行病学KW -流行病学KW -范围KW -审查KW -手机AB -背景:肿瘤学领域处于医疗保健领域人工智能(AI)进步的前沿,为研究这些技术在临床研究和患者护理中的早期整合提供了机会。人们希望人工智能将彻底改变医疗保健服务并改善临床结果,同时也担心这些技术对卫生公平的影响。目的:我们旨在对文献进行范围审查,以解决这个问题,“人工智能技术对肿瘤学健康公平的当前和潜在影响是什么?”方法:遵循PRISMA-ScR(范围评价的系统评价和元分析扩展的首选报告项目)范围评价指南,我们从2000年1月到2021年8月系统地搜索MEDLINE和Embase电子数据库,以查找涉及人工智能、卫生公平和肿瘤学关键概念的记录。我们收录了所有涉及这3个关键概念的英语文章。文章定性分析了有关人工智能对肿瘤学卫生公平影响的主题。结果:在14,011条记录中,从我们的回顾中确定的133条(0.95%)被纳入。我们在文献中确定了3个一般主题:使用人工智能来减少医疗保健差距(58/ 133,43.6%),对人工智能技术和偏见的担忧(16/ 133,12.1%),以及使用人工智能来检查健康的生物和社会决定因素(55/ 133,41.4%)。 A total of 3% (4/133) of articles focused on many of these themes. Conclusions: Our scoping review revealed 3 main themes on the impact of AI on health equity in oncology, which relate to AI’s ability to help address health disparities, its potential to mitigate or exacerbate bias, and its capability to help elucidate determinants of health. Gaps in the literature included a lack of discussion of ethical challenges with the application of AI technologies in low- and middle-income countries, lack of discussion of problems of bias in AI algorithms, and a lack of justification for the use of AI technologies over traditional statistical methods to address specific research questions in oncology. Our review highlights a need to address these gaps to ensure a more equitable integration of AI in cancer research and clinical practice. The limitations of our study include its exploratory nature, its focus on oncology as opposed to all health care sectors, and its analysis of solely English-language articles. SN - 1438-8871 UR - //www.mybigtv.com/2022/11/e39748 UR - https://doi.org/10.2196/39748 UR - http://www.ncbi.nlm.nih.gov/pubmed/36005841 DO - 10.2196/39748 ID - info:doi/10.2196/39748 ER -
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