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Artificial Intelligence in Mental Illness Diagnosis and Treatment

Artificial Intelligence for Enhancing the Diagnosis and Treatment of Mental Illness:a Prospective, Randomized Controlled Multicenter Clinical Trail

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04515173
Enrollment
4000
Registered
2020-08-17
Start date
2021-04-01
Completion date
2023-12-01
Last updated
2021-03-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Intelligence, Mental Illness

Brief summary

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.

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.

Interventions

DIAGNOSTIC_TESTArtificial intelligence diagnosis and treatment assistance system

An artificial intelligence robot that can assist psychiatrists in disease screening, diagnosis, treatment, and follow-up.

Sponsors

Shanghai Mental Health Center
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 60 Years
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
Recurrence rate24 weeksTotal number of patients with recurrence or recurrence of symptoms/total number of patients involved in the study
System sensitivityBaselineThe proportion that the system correctly determines people who are actually sick to be true.
System specificityBaselineThe proportion that the system correctly determines people who are actually disease-free to be true negative.
Cure rate24 weeksEnd of the period reached the total number of clinically cured patients / total number of all patients involved in the study

Secondary

MeasureTime frameDescription
Patients' satisfactionBaseline, 12 weeks, 24 weeksThe degree of patient satisfaction with the system
Clinical global impressionsBaseline, 12 weeks, 24 weeksThe score of clinical global impressions scale(CGI)
Social functionBaseline, 12 weeks, 24 weeksThe score of social disability screening schedule(SDSS)
Doctors' satisfactionBaseline, 12 weeks, 24 weeksThe degree of doctors' satisfaction with the system

Contacts

Primary ContactShanshan Su
su.lingshan@163.com17317126338

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026