Multi-modal, multi-resolution visualization
of structure and functions of human organs
o AI in Medical Imaging
o Deep Learning in Diagnosis and Therapy Assistance
o Multi-modal Medical Data Fusion
o Genomic Data Management and Analysis
o Big Data in Cognitive Computing
o Data-Driven Disease Prediction and Prevension
o Healthcare IOT
o Wearable Medical Devices
o Intelligent Clinical Assist Systems
o Medical Devices Validation and Certification
o Single-Cell Data Analysis
o Deep Learning in Genetics
o Drug Target Filtering for Cancer
Medical imaging is the technique and process to visualize the internal organs, structures and functions for human body. It provides efficient support for clinical diagnosis and treatment. It is one of the most important fields of modern medical research and application. Medical imaging is a comprehensive discipline that closely combines Life science, Medicine, Physics, Engineering, and Computer Science. With the rapid development in Computer Science, such as artificial intelligence, and big data; as well as various advanced medical imaging technique and equipment, modern medical imaging has also entered a fast developing pathway. Combining the advanced computer science with medical imaging to make conventional technology more intelligent, accurate and reliable, will further improve the importance of medical imaging technology in disease diagnosis, prediction and surgical treatment. Take advantage of big data and artificial intelligence, to achieve more precise medical treatment and telemedicine is an important direction for the development of medical imaging in the future.
With the development of technologies, medical devices are becoming "smarter" such that 1) they are autonomously making safety-critical decisions on diagnosis and therapy, and 2) they are coorperating by interconnections. The autonomy allows timely therapy and better life quality, and the connectivity allows additional perspectives for more precise diagnosis and therapy. However, these complex features are achieved by increasingly complex software, which puts the patients at higher risks when device malfunctions occur, and poses great challenges on traditional medical device development, validation and certification.
SMIRC has the following research projects under Intelligent Medical Devices:
2018 © SMIRC@ShanghaiTech. ALL Rights Reserved.