Application of AI Technology for the Diagnosis and Treatment of Geriatric Diseases
1\) Characteristics of handwriting, gait, speech, eye movements, biological samples (blood, urine, stool, saliva, etc.), images, EEG, and other relevant markers in patients with Alzheimer's disease. (2) Characteristics of handwriting, gait, language, eye movement, biological samples (blood, urine, stool, saliva, etc.), imaging, EEG, and other relevant markers in patients with Parkinson's disease. (3) Characteristics of handwriting, gait, language, eye movement, biological samples (blood, urine, stool, saliva, etc.), images, EEG, and other relevant markers in patients with other neurological disorders. (4) Characteristics of handwriting, gait, language, eye movement, biological samples (blood, urine, stool, saliva, etc.), images, EEG and other relevant markers in elderly patients.
• 2 A total of 100 patients with Alzheimer's disease were enrolled. The inclusion criteria were as follows: patients with Alzheimer's disease, based on the IWG-2 clinical diagnostic criteria.
• 3 Neurodegenerative diseases (non-PD and non-AD) group (n = 100) : meeting the diagnostic criteria of the corresponding diseases.
• 4 Eighty healthy elderly controls were included. The inclusion criteria were as follows: ① voluntarily participated in this study and signed the informed consent; ② Age and gender were matched with the case group.
• 5 80 young healthy controls, inclusion criteria: ① voluntarily participated in this study and signed the informed consent; ② Gender was matched with the case group, and the age was less than 60 years old.