Research fields: Intelligent drug development, intelligent diagnosis and treatment, intelligent medical image recognition, intelligent health data management.

Research features: Intelligent Medical Engineering is a highly interdisciplinary field that integrates medicine, science, and engineering. It focuses on innovative talent cultivation in aspects such as medical intelligence perception and health information management, health big data analysis, and medical intelligent decision-making. Through learning, it enables the mastery of knowledge that integrates modern medicine, biology, big data, cloud computing, machine learning, and deep learning. This field aims to address clinical health engineering technical issues and equip students with abilities in designing, developing, and applying medical information systems. Additionally, it fosters theoretical, innovative, and applied competencies in medical big data modeling and analysis, as well as medical artificial intelligence.