AI Embedded Transparent Health and Medicine System

  • Yichi GuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1069)


Along with the rapid exploration of intelligent system, AI methods have been applied in health and medicine fields to manage the fast growing medical data in recent years. Scientists and engineers started their first attempts. Medical history is collected and studied for automated diagnose, skin cancer images are deeply learned for auto judgment and classification [1], lung nodules are segmented automatically [2], and the future of medicine is debated in [3]. In this paper, we set up the transparent health and medicine AI system for the future, based on etiological analysis, construct total resolution network, provide accurate orientation and precise treatment, applying intelligent algorithms.


Artificial intelligence Health law Genetics Gene Medicine Data analysis Accurate and precise medicine Machine learning Deep learning 


  1. 1.
    Esteva, A., et al.: Dermatologist-level classification of skin cancer with deep neural networks. Nature 542.7639, 115–118 (2017)CrossRefGoogle Scholar
  2. 2.
    Gu, Y., et al.: Gaussian Filter in CRF based Semantic Segmentation., September 2017
  3. 3.
    Topol, E.: The Future of Medicine is in Your Hands. ZheJiang People’s Publication, Translated by Jie Zheng (2016)Google Scholar
  4. 4.
    Climate variability and linguistic diversity, Tage S. Rai, Science, 24 May 2019, vol. 364, Issue 6442, pp. 747–748. Scholar
  5. 5.
    Huang Di’s cannon of internal medicineGoogle Scholar
  6. 6.
  7. 7.
    Peng, Q., Xie, M.: Chemical industry publisher, Chinese medicine pulse diagnose clinic diagram (2018)Google Scholar
  8. 8.
    Zhang, J.: Pulse signal quality evaluation and application to emotion recognition. Master dissertation (2018)Google Scholar
  9. 9.
    ECG signal processing: Classification and interpretation. Springer, Adam Gacek (2012)Google Scholar
  10. 10.
    Li, A., Ma, S., Wu, M.: Application of molecular targeted drug to the treatment of liver cancer. J. Hepatopancreatobiliary Surv., May 2015Google Scholar
  11. 11.
  12. 12.

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Cultigene Medical Technology (Beijing) Ltd.BeijingPeople’s Republic of China

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