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AI Embedded Transparent Health and Medicine System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1069))

Abstract

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.

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References

  1. Esteva, A., et al.: Dermatologist-level classification of skin cancer with deep neural networks. Nature 542.7639, 115–118 (2017)

    Article  Google Scholar 

  2. Gu, Y., et al.: Gaussian Filter in CRF based Semantic Segmentation. https://arxiv.org/abs/1709.00516, September 2017

  3. Topol, E.: The Future of Medicine is in Your Hands. ZheJiang People’s Publication, Translated by Jie Zheng (2016)

    Google Scholar 

  4. Climate variability and linguistic diversity, Tage S. Rai, Science, 24 May 2019, vol. 364, Issue 6442, pp. 747–748. https://doi.org/10.1126/science.364.6442.747-f

    Google Scholar 

  5. Huang Di’s cannon of internal medicine

    Google Scholar 

  6. Baidu Research: https://baike.baidu.com/item/%E8%A5%BF%E5%8C%BB/6014741?fr=aladdin

  7. Peng, Q., Xie, M.: Chemical industry publisher, Chinese medicine pulse diagnose clinic diagram (2018)

    Google Scholar 

  8. Zhang, J.: Pulse signal quality evaluation and application to emotion recognition. Master dissertation (2018)

    Google Scholar 

  9. ECG signal processing: Classification and interpretation. Springer, Adam Gacek (2012)

    Google Scholar 

  10. Li, A., Ma, S., Wu, M.: Application of molecular targeted drug to the treatment of liver cancer. J. Hepatopancreatobiliary Surv., May 2015

    Google Scholar 

  11. Baidu Research. https://baike.baidu.com/item/%E5%9F%BA%E5%9B%A0%E7%BC%96%E8%BE%91/18830535?fr=aladdin

  12. https://deepmind.com/research/alphago/

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Correspondence to Yichi Gu .

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Gu, Y. (2020). AI Embedded Transparent Health and Medicine System. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2019. FTC 2019. Advances in Intelligent Systems and Computing, vol 1069. Springer, Cham. https://doi.org/10.1007/978-3-030-32520-6_2

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