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Fourth Industrial Revolution: An Impact on Health Care Industry

  • Prisilla Jayanthi
  • Muralikrishna Iyyanki
  • Aruna Mothkuri
  • Prakruthi Vadakattu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 965)

Abstract

The World Economic Forum annual meeting, held in Davos, Switzerland, emphasized the Fourth Industrial Revolution as one of the most cutting-edge innovative techniques to be seen in the forthcoming era. This has a greater impact on the future of production and the role of government, business and academia in all developing technologies and innovation where industries, communication and technologies meet. The fourth industrial revolution combines the physical, digital, and biological spaces and is changing the healthcare industry. The FCN-32 semantic segmentation was performed on the brain tumor images which produced better results for identifying the tumors as ground truths and predicted images was achieved. The best calculated loss = 0.0108 and accuracy = 0.9964 for the given tumor images was achieved. The earlier detecting and analysis of any disease can help diagnosing and treatment in better means through artificial intelligence techniques. The healthcare industry can serve better with faster and quality services to remote, rural and unreachable areas and thereafter reduces the cost of hospitalization.

Keywords

Artificial Intelligence Accuracy Health care Industrial revolution Machine learning Semantic segmentation 

Notes

Acknowledgements

We appreciate Dr. Iyyanki Muralikrishna for his innovative thoughts and constant encouragement.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

References

  1. 1.
    Brown-Martin, G.: Education and the Fourth Industrial Revolution, August 2017Google Scholar
  2. 2.
    Park, H.A.: Are We Ready for the Fourth Industrial Revolution? IMIA Yearbook of Medical Informatics (2016)CrossRefGoogle Scholar
  3. 3.
    Prisilla, J., Iyyanki, V.M.K.: Convolution neural networks: a case study on brain tumor segmentation in medical care. In: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering. Springer Nature Switzerland AG (2018)Google Scholar
  4. 4.
    Prisilla, J., et al.: Decision trees for predicting brain tumors: a case study in health care. In: Third International Congress on Information and Communication Technology, Advances in Intelligent Systems and Computing 797. Springer Nature Singapore Pte Ltd. (2018).  https://doi.org/10.1007/978-981-13-1165-9_83Google Scholar
  5. 5.
    Thieme, M., Reina, T.: Biomedical Image Segmentation with U-Net (2018)Google Scholar
  6. 6.
    De Fauw, J., et al.: Clinically applicable deep learning for diagnosis and referral in retinal disease. Nat. Med. (2018).  https://doi.org/10.1038/s41591-018-0107-6CrossRefGoogle Scholar
  7. 7.
    Xing, B., Marwala, T.: Implications of the Fourth Industrial Age on Higher Education (2017)Google Scholar
  8. 8.
    Scott, J.E., Scott, C.H.: Drone delivery models for health care. In: Proceedings of the 50th Hawaii International Conference on System Sciences (2017)Google Scholar
  9. 9.
    Prisilla, J., et al.: Deep learning in oncology- a case study on brain tumor. Int. J. Cancer Res. Ther. 3(1), 1–5 (2018). ISSN: 2476-2377 Google Scholar
  10. 10.
    Waslo, R., Lewis, T., Hajj, R., Carton, R.: Connected objects expanding risks to the physical object. In: Industry 4.0 and Cybersecurity: Managing Risk in an Age of Connected Production (2017)Google Scholar
  11. 11.
    Klaus, S.: The Fourth Industrial Revolution: what it means, how to respond. World Economic Forum (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Prisilla Jayanthi
    • 1
  • Muralikrishna Iyyanki
    • 2
  • Aruna Mothkuri
    • 3
  • Prakruthi Vadakattu
    • 4
  1. 1.HyderabadIndia
  2. 2.R&D JNTUHHyderabadIndia
  3. 3.IBS, The ICFAI Foundation for Higher EducationHyderabadIndia
  4. 4.Biomedical Engineering MITManipal UniversityManipalIndia

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