National Yang Ming Chiao Tung University

Taipei Veterans General Hospital

Albert Chihchieh Yang

Yu-Wei Chang

Shih-Jen Tsai

Jong-Ling Fuh

Shih-Yu Fang

A method is to be implemented by a computing device that stores a risk assessment model, and includes steps of: obtaining an entry of target physiological data and target magnetic resonance imaging (MRI) images of a brain of a subject with mild cognition impairment (MCI); obtaining, based on the target MRI images, voxel values respectively of primitive voxels that are related to grey matter of the brain of the subject; selecting, from among the primitive voxels, any primitive voxel satisfying a filtering criterion as a selected voxel; calculating an average of the voxel value(s) respectively of the selected voxel(s) to obtain an average target voxel value; and obtaining a probability of the subject developing Alzheimer's disease within a predetermined time period by feeding the average target voxel value and the entry of target physiological data into the risk assessment model.

Method for determining probability of subject with mild cognition impairment developing alzheimer's disease within predetermined time period

A method for determining whether there is an abnormality in a brain includes steps of: receiving a to-be-determined (TBD) 3D brain image; implementing the calibration procedure on the TBD 3D brain image; generating a first TBD image of WM, a second TBD image of GM, and a third TBD image of CSF based on a multi-voxel pattern of the TBD 3D brain image; and inputting the first TBD image of WM into a first DNN model, the second TBD image of GM into a second DNN model, and the third TBD image of CSF into a third DNN model to determine whether there is an abnormality in the white matter, the gray matter and the cerebrospinal fluid, respectively.

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Taipei, Taiwan

Albert Chihchieh Yang