Job Recruitment Website - Zhaopincom - Is the specialty of intelligent medicine well distributed? Is there any way out?

Is the specialty of intelligent medicine well distributed? Is there any way out?

The major of intelligent medicine is basically not allocated unless you are particularly capable. When schools recruit, there will be good companies to recruit. If the interview is successful, you can go to work in the company.

Employment direction of intelligent medicine major After the intelligent medical project comes out, you can enter a pharmaceutical company or become a doctor. These industries are suitable for you, and its employment prospects are still very broad. Engaged in clinical and research work in medical direction in large general hospitals. Engaged in research and development and management in universities, research institutes, artificial intelligence and smart medical related enterprises.

Modern medical model will also change greatly with the promotion of science and technology, so the emerging intelligent medical engineering specialty is also the product of the times, although few people know it, because this specialty will cross into the field of intelligent science and technology and belong to an interdisciplinary subject. You can get an engineering degree after only four years in school. If you want to study further and even become a more cutting-edge talent, you can choose to go to graduate school, which will give you an advantage after graduation.

Intelligent medical engineering knowledge ability 1, master the basic theory of basic medicine and clinical medicine;

2. Understand the medical phenomena, medical problems and medical models in the three-level network of smart hospitals, regional medical centers and family self-help health monitoring;

3. Ingeniously apply electronic technology, computer technology and artificial intelligence technology to intelligent collection, intelligent analysis, intelligent diagnosis and treatment, clinical practice and other aspects of medical information big data.