Alzheimer's Disease (AD) is a persistent neurodegenerative disease that has a hidden onset, slow progression, and continues to worsen over time. It is the cause of 60% -70% of dementia cases, and with the development of an aging society, it continues to intensify, bringing a heavy burden to patients, families, and society.

Brain doctors measure indicators such as hippocampal volume, ventricular volume, lateral ventricular volume, and temporal lobe volume for AD diagnosis, and all indicators are standardized for intracranial volume. Currently, the system has a clinical diagnostic accuracy of 96.30% and a sensitivity of 93.55% for Alzheimer's disease, which is a high diagnostic level both domestically and internationally, comparable to manual delineation by medical experts. Brain doctors have advanced the diagnostic window for AD by 10 years compared to traditional manual film reading methods. Meanwhile, the AI prediction algorithm of brain doctors can predict the likelihood of patients suffering from AD and transitioning from mild cognitive impairment (MCI) to AD, providing important reference information for clinical decision-making.