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

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

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.

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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