There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | peng yang |
| Institution: | National university of defense technology |
| Department: | the College of Electronic Science and Technology |
| Country: | |
| Proposed Analysis: | Alzheimer's Disease (AD), also known as senile dementia, is a common irreversible neurodegenerative disease in the elderly, and is the most common form of dementia. Doctors mainly observe brain images by the naked eye to find diseased areas, which makes the interpretation of brain images highly dependent on the clinical experience and ability of doctors. With the rapid development of Artificial Intelligence (AI) technology, various computer technologies are used to process and analyze brain images so as to extract their essential features and combine machine learning and deep learning methods. Designing a model that can automatically and accurately classify AD, MCI, and CN will play an important clinical role, which will help clinicians to quickly and accurately diagnose the disease, so as to treat AD patients in the early stage and delay or prevent the further development of the disease course. |
| Additional Investigators |
