人工智能在医疗领域的发展现状及前景分析
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摘要
在人工智能最新技术理论和国民经济社会发展的共同驱动下,人工智能发展已进入新的阶段,人工智能呈现高速发展的繁荣景象。作为引领未来的战略性技术,我国把发展人工智能上升为国家战略,人工智能将成为经济发展的强劲引擎和新一轮科技革命的核心驱动力。医疗与人工智能的深度融合,是未来医学发展的重要方向。本文对目前人工智能在医疗领域的应用场景梳理总结,对存在的问题提出建议,并简单分析人工智能在医疗领域的未来发展前景。
Driven by the latest technology theory of artificial intelligence and the development of national economy and society,the development of artificial intelligence has entered a new stage, and artificial intelligence presents a prosperous scene of rapid development. As a strategic technology that leads the future, China has raised the development of artificial intelligence into a national strategy. Artificial intelligence will become a powerful engine for economic development and a core driving force for a new round of scientific and technological revolution. The deep integration of medical and artificial intelligence is an important direction for future medical development. This paper summarizes the current application scenarios of artificial intelligence in the medical field, puts forward suggestions for existing problems, and briefly analyzes the future development prospects of artificial intelligence in the medical field.
Driven by the latest technology theory of artificial intelligence and the development of national economy and society,the development of artificial intelligence has entered a new stage, and artificial intelligence presents a prosperous scene of rapid development. As a strategic technology that leads the future, China has raised the development of artificial intelligence into a national strategy. Artificial intelligence will become a powerful engine for economic development and a core driving force for a new round of scientific and technological revolution. The deep integration of medical and artificial intelligence is an important direction for future medical development. This paper summarizes the current application scenarios of artificial intelligence in the medical field, puts forward suggestions for existing problems, and briefly analyzes the future development prospects of artificial intelligence in the medical field.
引文
[1]唐鲁,李翠,李晓芳,等.达·芬奇机器人手术系统及其研究进展[J].护理研究,2015(16):1932-1935.
[2]King BF. Jr Artificial Intelligence and Radiology:What Will the Future Hold[J]? JACR, 2018,15(3):501-503.
[3]张红升.人工神经网络技术在肺癌CT诊断中的应用[D].郑州大学,2007.
[4]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(05):11-12.
[5]郭子毅.应重视健康管理人工智能产业发展[N].中国经济时报,2018-09-14(005).
[6]张星一,吕虹.人工智能在药物研发与监管领域的应用及展望[J].中国新药杂志,2018,27(14):1583-1586.
[7]武奥申,刘小娜,刘昀赫,等.二代基因测序数据管理和大数据平台在精准医学中的应用[J].中国生物工程杂志,2019,39(02):101-111.
[2]King BF. Jr Artificial Intelligence and Radiology:What Will the Future Hold[J]? JACR, 2018,15(3):501-503.
[3]张红升.人工神经网络技术在肺癌CT诊断中的应用[D].郑州大学,2007.
[4]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(05):11-12.
[5]郭子毅.应重视健康管理人工智能产业发展[N].中国经济时报,2018-09-14(005).
[6]张星一,吕虹.人工智能在药物研发与监管领域的应用及展望[J].中国新药杂志,2018,27(14):1583-1586.
[7]武奥申,刘小娜,刘昀赫,等.二代基因测序数据管理和大数据平台在精准医学中的应用[J].中国生物工程杂志,2019,39(02):101-111.