MRI-mediated intelligent multimodal imaging system: from artificial intelligence to clinical imaging diagnosis.
Authors
Affiliations (3)
Affiliations (3)
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China.
- Department of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China. Electronic address: [email protected].
Abstract
MRI, as a mature diagnostic method in clinical application, is favored by doctors and patients, there are also insurmountable bottleneck problems. AI strategies such as multimodal imaging integration and machine learning are used to build an intelligent multimodal imaging system based on MRI data to solve the unmet clinical needs in various medical environments. This review systematically discusses the development of MRI-guided multimodal imaging systems and the application of intelligent multimodal imaging systems integrated with artificial intelligence in the early diagnosis of brain and cardiovascular diseases. The safe and effective deployment of AI in clinical diagnostic equipment can help enhance early accurate diagnosis and personalized patient care.