Intelligent medical engineering is an interdisciplinary discipline that highly integrates medicine, science and engineering. This major aims to promote the intelligent development of medical practice through the use of electronic technology, computer technology and artificial intelligence technology to intelligently collect, intelligently analyze and intelligently diagnose and treat medical information big data.
Its core research contents include intelligent drug research and development, medical robotics technology, intelligent diagnosis and treatment systems, intelligent image recognition technology, and intelligent health data management.
The postgraduate examination direction of intelligent medical engineering includes the integration of biomedical engineering and intelligent technology, the research and development and application of intelligent diagnosis and treatment systems, health big data and intelligent health management, medical robots and intelligent auxiliary equipment, etc.
1. Integration of biomedical engineering and intelligent technology
Biomedical engineering has always been an important foundation for intelligent medical engineering. When entering graduate school, students can choose to delve into the fields of biomedical signal processing, medical imaging technology, biomaterials and artificial organs. In these areas, the introduction of smart technologies can greatly increase the depth and breadth of research. For example, the use of artificial intelligence algorithms to automatically analyze and diagnose medical images can not only improve the accuracy of diagnosis, but also greatly reduce the workload of doctors.
2. R&D and application of intelligent diagnosis and treatment system
Intelligent diagnosis and treatment system is another research hotspot of intelligent medical engineering. The postgraduate entrance examination direction can focus on how to use artificial intelligence technology to build an efficient and accurate diagnosis and treatment system. This includes, but is not limited to, intelligent consultation, automatic analysis of the condition, and program recommendation. By delving into these areas, students can contribute to the intelligence and personalization of medical care in the future.
3. Health big data and intelligent health management
In the era of health big data, how to effectively use these data for health management and disease prevention has also become an important research direction of intelligent medical engineering. When entering graduate school, students can choose to explore the collection, processing, analysis and application of health data, and use artificial intelligence technology to explore the value of data to provide support for personalized health management and precision medicine.
4. Medical robots and intelligent auxiliary equipment
Medical robots and intelligent auxiliary devices are another highlight in the field of intelligent medical engineering. The postgraduate entrance examination direction can focus on the design, control, perception and human-computer interaction of medical robots. Through the research and development of more intelligent and efficient medical robots, the quality and efficiency of medical services can be effectively improved.
Graduates of the Intelligent Medical Engineering program have a wide range of employment prospects. They can engage in clinical and research work in the medical direction in large general hospitals, using intelligent technology to diagnose and improve medical efficiency and quality.
In addition, they can also engage in R&D and management in universities, research institutes, artificial intelligence enterprises and intelligent healthcare-related enterprises to promote the innovation and application of intelligent medical technology.