In early 2020, COVID-19 outbroke in many countries around the world. Governments of various countries have since adopted diversified prevention and control measures to control the epidemic. Among them, AI has been an important auxiliary means that plays a unique role in prevention and control of COVID-19. The practical scenarios of AI assisting the prevention and control of COVID-19 have been focused on research field, mainly including epidemic monitoring and early warning, medical diagnosis, virus and drug research and development. The application of AI technology has significant effects on controlling the spread of the epidemic, alleviating the pressure of diagnosis and treatment and improving the efficiency of research and development. At the same time, AI is still facing practical problems such as regulations and ethics, data security, and algorithmic bias. Based on this, suggestions such as perfecting laws and regulations, ensuring data security, and strengthening talent training are proposed.
SHA Dechun
,
JING Jing
. Practical scenarios of artificial intelligence in the prevention and control of COVID-19[J]. Science & Technology Review, 2021
, 39(15)
: 135
-141
.
DOI: 10.3981/j.issn.1000-7857.2021.15.014
[1] 闫立, 吴何奇. 重大疫情治理中人工智能的价值属性与隐私风险——兼谈隐私保护的刑法路径[J]. 南京师大学报(社会科学版), 2020(2):32-41.
[2] 吴军, 陶沁, 陈静, 等. 人工智能技术在学校传染病聚集性疫情智能早期筛查与预警中的应用[J]. 中国公共卫生, 2019, 35(4):516-520.
[3] 刘志学. 基于疫情视角下人工智能对消费及购物体验的影响研究[J]. 商场现代化, 2020(4):22-23.
[4] 袁紫藤, 陶金婷, 谈莹, 等. 国内外医疗人工智能应用现状及相关政策[J]. 医学信息学杂志, 2019, 40(5):1-9.
[5] 王楠, 陈力. 人工智能在医疗卫生领域应用的思考[J]. 中国急救复苏与灾害医学杂志, 2019, 14(4):305-308.
[6] 蔡耀婷. 人工智能在医疗领域的应用现状及发展前景[J]. 护理研究, 2019, 33(15):2640-2643.
[7] 王海洲, 王冠. 基于深度学习的人工智能医疗应用与存在的问题[J]. 沈阳大学学报(自然科学版), 2019, 31(2):118-121.
[8] 周吉银, 刘丹, 曾圣雅. 人工智能在医疗领域中应用的挑战与对策[J]. 中国医学伦理学, 2019, 32(3):281-286.
[9] 孔祥溢, 王任直. 人工智能及在医疗领域的应用[J]. 医学信息学杂志, 2016, 37(11):1-5.
[10] 赵嘉莹, 高鹏, 朱勇俊, 等. 人工智能的应用将改进中国基层医疗卫生服务效能[J]. 中国全科医学, 2017, 20(34):4219-4223.
[11] 蒋璐伊, 王贤吉, 金春林. 人工智能在医疗领域的应用和准入[J]. 中国卫生政策研究, 2018, 11(11):78-82.
[12] 黄欢, 赵钢. 人工智能在医疗及神经病学领域的应用[J]. 华西医学, 2018, 33(6):639-643.
[13] 叶玲珑, 谢邦昌. 人工智能在医疗健康中的应用[J]. 中国统计, 2018(5):11-12.
[14] 刘建利. 医疗人工智能临床应用的法律挑战及应对[J]. 东方法学, 2019(5):133-139.
[15] 刘琪, 谷笑颖. 医疗人工智能应用中的伦理困境及对策研究[J]. 医学与哲学, 2019, 40(21):5-8.
[16] 潘德润, 秦耿耿, 陈卫国. 基于深度学习的人工智能技术在乳腺癌筛查及影像诊断中的应用进展[J]. 国际医学放射学杂志, 2019, 42(1):12-15.
[17] 陈丽, 曹红格. 人工智能技术在影像诊断中的应用及展望[J]. 现代医用影像学, 2020, 29(1):19-21.
[18] 张鹏, 徐欣楠, 王洪伟, 等. 基于深度学习的计算机辅助肺癌诊断方法[J]. 计算机辅助设计与图形学学报, 2018, 30(1):90-99.
[19] 冉晓宁. 腾讯AI落地,算法助力秒级识别新冠肺炎[EB/OL]. (2020-02-22)[2020-04-26]. http://www.xinhuanet.com/enterprise/2020-02/22/c_1125610314.htm.
[20] 刘湃. 数坤科技研发新冠肺炎智能影像分析系统,助力数万患者筛查、救治[EB/OL]. (2020-04-10)[2020-04-26]. http://www.chinanews.com/cj/2020/04-10/9153244.shtml.
[21] 钟桂良. 论人工智能在医疗领域的应用与发展[J]. 数字技术与应用, 2019, 37(7):195-196.
[22] 孟晓宇, 王忠民, 景慎旗, 等. 医疗人工智能的发展与挑战[J]. 中国数字医学, 2019, 14(3):15-17.
[23] 李明, 李昱熙, 戴廉, 等. 医疗人工智能伦理若干问题探讨[J]. 医学与哲学, 2019, 40(21):1-4.
[24] Castillo C, Bonchi F. Algorithmic bias:From discrimination discovery to fairness-aware data mining[EB/OL]. (2016-06-09)[2020-04-27]. http://videolectures.net/kdd2016_tutorial_algorithmic_bias/.
