中华皮肤科杂志 ›› 2019, Vol. 52 ›› Issue (2): 131-134.doi: 10.3760/cma.j.issn.0412-4030.2019.02.018

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人工智能在医学领域的研究进展

高萌    杨仙鸿    姜祎群   

  1. 中国医学科学院  北京协和医学院  皮肤病医院病理科,南京 210042
  • 收稿日期:2018-01-15 修回日期:2018-05-22 出版日期:2019-02-15 发布日期:2019-01-29
  • 通讯作者: 姜祎群 E-mail:yiqunjiang@qq.com
  • 基金资助:
    中国医学科学院医学与健康科技创新工程项目(CIFMS-2017-I2M-1-017)

Artificial intelligence in medicine

Gao Meng, Yang Xianhong, Jiang Yiqun   

  1. Department of Pathology, Hospital for Skin Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing 210042, China
  • Received:2018-01-15 Revised:2018-05-22 Online:2019-02-15 Published:2019-01-29
  • Contact: Jiang Yiqun E-mail:yiqunjiang@qq.com
  • Supported by:
    CAMS Innovation Fund for Medical Sciences (CIFMS-2017-I2M-1-017)

摘要: 【摘要】 随着技术发展,医疗行业正进入“大数据”和“精准医学”的新纪元。人工智能可以辅助诊疗过程,减轻医生的数据分析压力。目前,人工智能在医学领域主要应用于图像识别、遗传学和基因组学、智能诊疗、预测预后等方面,其准确性可接近人类专家水平。其中,图像识别的研究最多,包括皮肤图像识别。在非图像识别领域,人工智能在皮肤科的研究较少。未来,人工智能可提高诊疗效率,使医患双方共同获益。

关键词: 人工智能; 机器学习; 图像识别; 皮肤科  ,

Abstract: 【Abstract】 With the development of medical technology, a new era of "big data" and "precision medicine" is coming. Artificial intelligence can assist in the diagnosis and treatment process, and reduce the pressure of data analysis on physicians. At present, artificial intelligence is mainly applied to image recognition, genetics and genomics, intelligent diagnosis and treatment, and prognosis prediction in medicine, whose accuracy may approach human experts. Image recognition is most studied, including skin image recognition. In non-image recognition field, artificial intelligence is less studied in dermatology. In the future, artificial intelligence will increase the efficiency of diagnosis and treatment, so as to benefit both physicians and patients.

Key words: Artificial intelligence, Machine learning, Image recognition, Dermatology  

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