- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04515173
Artificial Intelligence in Mental Illness Diagnosis and Treatment
March 17, 2021 updated by: Yifeng XU, Shanghai Mental Health Center
Artificial Intelligence for Enhancing the Diagnosis and Treatment of Mental Illness:a Prospective, Randomized Controlled Multicenter Clinical Trail
To improve the quality of mental health services, we will develop a robot that includes disease screening, diagnosis, treatment, and follow-up.
The effectiveness of robots will be verified in a prospective, randomized, multi-center clinical trial.
We assume that the robot will reduce the differences in the experience of doctors of different years and will improve mental health care across the country, and improve the uneven distribution of mental health resources through remote resource sharing.
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Detailed Description
Anxiety disorder is the most common mental disorder in the world.
The lifetime prevalence of anxiety disorder in China is as high as 7.6%, but the treatment rate is less than 30%, and the standard treatment rate is only 9.8%.
The disease burden is heavy, and it is one of the most serious public health problems in China.
Anxiety disorder is a chronic relapsing disease, single drug treatment only 35-50% efficient, psychological treatment as the most international evidence-based foundation and anxiety disorder most commonly used treatment method, can be a single treatment for anxiety disorders or improve the effect of the medication, but because of clinical psychology in China started late, the lack of professionals, unable to meet the huge demand for psychological treatment in our country, therefore, how to develop efficient and standardized anxiety disorders psychotherapy pattern, improve the psychological treatment of acquired, is the key to improve the clinical curative effect of anxiety disorders.
Based on the intelligent assisted psychotherapy system based on cognitive behavior and mindfulness developed in the early stage, this research group established the accurate psychotherapy artificial intelligence robot based on evaluation to assist the whole process of standardized psychotherapy for anxiety disorders.
Study Type
Interventional
Enrollment (Anticipated)
4000
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Shanshan Su
- Phone Number: 17317126338
- Email: su.lingshan@163.com
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 60 years (ADULT)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Community high-risk groups and institutional groups.
- According to the ICD-11 diagnostic guidelines of anxiety-related disorders, depression-related disorders, addiction-related disorders, compulsive-related disorders diagnosis,
- age 18-60 years old,
- skilled in the operation of computers or smartphones,
- language, reading ability is normal,
- willing to participate in the project and sign informed consent study.
Exclusion Criteria:
- The symptoms of mental illness are severe and require hospitalization, or the patient is unable to complete the required assessment examination and treatment.
- Those who have a higher risk of self-injury or suicide.
- People with severe physical illness, central system disease, or substance abuse.
- Receive physical therapy at the same time.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: TREATMENT
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
EXPERIMENTAL: Artificial intelligence group
On the basis of conventional drug therapy combined with psychotherapy robot psychotherapy, the corresponding intelligent psychotherapy module and intensity were recommended according to the results of intelligent psychological evaluation.
Each module was set once a week, 50 minutes each time, a total of 12 times.
|
An artificial intelligence robot that can assist psychiatrists in disease screening, diagnosis, treatment, and follow-up.
|
OTHER: General group
The subjects in this group only received routine drug therapy and routine outpatient follow-up evaluation
|
An artificial intelligence robot that can assist psychiatrists in disease screening, diagnosis, treatment, and follow-up.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
System sensitivity
Time Frame: Baseline
|
The proportion that the system correctly determines people who are actually sick to be true.
|
Baseline
|
System specificity
Time Frame: Baseline
|
The proportion that the system correctly determines people who are actually disease-free to be true negative.
|
Baseline
|
Cure rate
Time Frame: 24 weeks
|
End of the period reached the total number of clinically cured patients / total number of all patients involved in the study
|
24 weeks
|
Recurrence rate
Time Frame: 24 weeks
|
Total number of patients with recurrence or recurrence of symptoms/total number of patients involved in the study
|
24 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Patients' satisfaction
Time Frame: Baseline, 12 weeks, 24 weeks
|
The degree of patient satisfaction with the system
|
Baseline, 12 weeks, 24 weeks
|
Clinical global impressions
Time Frame: Baseline, 12 weeks, 24 weeks
|
The score of clinical global impressions scale(CGI)
|
Baseline, 12 weeks, 24 weeks
|
Social function
Time Frame: Baseline, 12 weeks, 24 weeks
|
The score of social disability screening schedule(SDSS)
|
Baseline, 12 weeks, 24 weeks
|
Doctors' satisfaction
Time Frame: Baseline, 12 weeks, 24 weeks
|
The degree of doctors' satisfaction with the system
|
Baseline, 12 weeks, 24 weeks
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Study Chair: Yifeng Xu, SMHC
- Study Director: Jianyin QIU, SMHC
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (ANTICIPATED)
April 1, 2021
Primary Completion (ANTICIPATED)
December 1, 2022
Study Completion (ANTICIPATED)
December 1, 2023
Study Registration Dates
First Submitted
August 13, 2020
First Submitted That Met QC Criteria
August 13, 2020
First Posted (ACTUAL)
August 17, 2020
Study Record Updates
Last Update Posted (ACTUAL)
March 22, 2021
Last Update Submitted That Met QC Criteria
March 17, 2021
Last Verified
March 1, 2021
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- "Six zero zero"robot
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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