Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

Abstract: The disclosure provides an electronic device, including a circuit board, multiple semiconductor components, a first light reflecting structure, and a second light reflecting structure. The circuit board includes a substrate, and the substrate may have a first surface and at least one side surface. The multiple semiconductor components are disposed on the first surface. The first light reflecting structure is disposed on the first surface. The second light reflecting structure is disposed on the first surface and the at least one side surface.