Actively Recruiting
Application of AI Technology for the Diagnosis and Treatment of Geriatric Diseases
Led by Qilu Hospital of Shandong University · Updated on 2025-05-11
460
Participants Needed
1
Research Sites
N/A
Total Duration
On this page
Sponsors
Q
Qilu Hospital of Shandong University
Lead Sponsor
S
Shandong University
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are studying the characteristics of handwriting, gait, speech, eye movements, and biological samples in patients with Alzheimer's disease, Parkinson's disease, other neurological disorders, and elderly individuals. The study aims to evaluate these features alongside imaging and EEG markers using AI technology to improve diagnosis and treatment for geriatric diseases. The research includes 100 patients with Parkinson's, 100 with Alzheimer's, 100 with other neurological disorders, 80 healthy elderly controls, and 80 healthy young controls. Participants undergo assessments such as motor function tests for Parkinson's patients and cognitive and mood evaluations for Alzheimer's patients. All subjects complete handwriting recording, gait assessment, language and eye movement recordings, and provide biological samples including blood, urine, stool, and saliva. Imaging and EEG data are also collected to analyze correlations with clinical features using AI. Data is carefully collected, entered, and analyzed by clinical and statistical experts. During the study, participants provide multiple types of data at regular intervals from early 2022 through mid-2026. Evaluations include cognitive scales like the MMSE and MOCA, motor assessments like UPDRS, and mood scales such as HAMD. The research team monitors markers from handwriting to EEG over time to better understand these diseases. The study involves ongoing data collection and statistical analysis to identify meaningful patterns that could aid diagnosis and treatment planning.
CONDITIONS
Brief Title
Application of AI Technology for the Diagnosis and Treatment of Geriatric Diseases
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients with primary Parkinson's disease diagnosed by 2015 MDS Parkinson's disease criteria
- Patients with Alzheimer's disease meeting IWG-2 clinical diagnostic criteria
- Patients with other neurodegenerative diseases meeting relevant diagnostic criteria
- Healthy elderly volunteers who consent and match patient age and gender
- Healthy young adult volunteers under 60 years old who consent and match patient gender
You will not qualify if you...
- Patients with other central nervous system diseases such as cerebrovascular disease, traumatic brain injury, inflammatory diseases, intracranial tumors, or previous brain surgery
- Patients with cognitive impairment indicated by MMSE score below 24
- Individuals with severe psychiatric disorders that interfere with cooperation
- Healthy controls with history of chronic neurological diseases or poor study compliance
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - From February 2022 to June 2026
Participants undergo assessments including handwriting recording, gait assessment, speech and eye movement recording, and collection of biological samples, images, EEG, and other relevant markers for study.
1 visit for assessments and sample collection
Duration - From February 2022 to June 2026
Participants are observed over time to analyze correlations of collected data with diagnostic and treatment plans using AI technology.
Follow-up visits as needed over the study period
Trial Site Locations
Total: 1 location
1
Qilu Hospital of Shandong University
Jinan, Shandong, China, 250012
Actively Recruiting
Research Team
J
Jun Ma
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
5
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