DOI QR코드

DOI QR Code

Will 80% of Medical Laboratory Technologist disappear in the future?

  • Received : 2019.05.23
  • Accepted : 2019.06.07
  • Published : 2019.03.30

Abstract

"In the future, 80% of doctors will be replaced by advanced technology." It has been talked about for a long time. When I first heard this story, people said it was ridiculous. But now that AlphaGo has won the Go match against Lee Se-dol, and many global companies have come up with a variety of services and products based on artificial intelligence, the story has become no more than ridiculous. In other words, it is beginning to come true. Artificial intelligence technology is already widely used in manufacturing and service industries. This spread of artificial intelligence is sure to usher in an era of great change in our future. And it is safe to say that it is the "medical world" where the biggest changes will be made. So how on earth does artificial intelligence replace medical personnel? If replaced, where would you stand out? In order to understand this, we must first be familiar with deep learning, which is the basis of medical artificial intelligence. And as the fourth industrial revolution gradually approaches reality, various occupational groups are becoming meaningless, as in the preceding industrial revolution, and in this paper we will learn about the impact of this situation on the medical community.

Keywords

Acknowledgement

This work was supported by the research grant of the KODISA Scholarship Foundation in 2019

References

  1. Baek B. S. (2017). Machine learning-Deep learning. What's the difference?. ZDNetKorea, 7 Aug, Seoul, Korea
  2. Choi, Y. S. (2018). Medical Artificial Intelligence. Seoul, Korea: Cloud nine Publishing
  3. Dxline (2019). A benign tumor. Retrieved May 22, 2019, from http://dxline.info/diseases/adenoma-benign-tumor
  4. Jung, K. H. (2017). AI Medical Imaging Technology Use Cases. KaKao AI report, 28 July, Seoul, Korea
  5. Lee, M. J. (2017). Can you predict a day's suspension?.Attention to artificial intelligence 'Gis. a young man's doctor
  6. Naver (2019). 24hour holter. Retrieved May 22, 2019, from https://blog.naver.com/mhsi0501/221311140535
  7. Zhou. I. (2017). Developing artificial intelligence, which predicts disease, is not a dream either in Korea. Mediphana News, 18 February, Seoul, Korea