“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.

Abstract
1. Principles of Medical Artificial Intelligence
    1.1. Differences in artificial intelligence, machine learning, and deep learning
    1.2. Deep Learning
    1.3. Advantages and weaknesses of deep learning
2. Utilization of Medical Artificial Intelligence
    2.1. Use of Artificial Intelligence in Pathology
    2.2. The Application of Artificial Intelligence in Diagnosis and Testing
3. conclusion
References

• Min-Jeong KIM(Dept. of Nursing, Eulji University)
• Dong-Ho KIM(Dept. of Marketing, Heycheon University)
• Myoung-Kil YOUN(Dept. of Medical IT & Marketing, Eulji University) Corresponding Author