An establishing method of a retinal layer thickness detection model includes following steps. A reference database is obtained, and an image pre-processing step, a feature selecting step, a training step and a confirming step are performed. The reference database includes reference optical coherence tomographic images. In the image pre-processing step, the reference optical coherence tomographic images are duplicated and cell segmentation lines of retinal layers are marked to obtain control optical coherence tomographic images. In the feature selecting step, the reference optical coherence tomographic images are analyzed to obtain reference image features. The training step is to train with the reference image features and obtain the retinal layer thickness detection model. In the confirming step, marked optical coherence tomographic images are output by the retinal layer thickness detection model, and compared with the control optical coherence tomographic images to confirm an accuracy of the retinal layer thickness detection model.
Eye care device and method for assessing and predicting dementia