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Artificial Intelligence in Mental Illness Diagnosis and Treatment

S

Shanghai Mental Health Center

Status

Unknown

Conditions

Mental Illness
Artificial Intelligence

Treatments

Diagnostic Test: Artificial intelligence diagnosis and treatment assistance system

Study type

Interventional

Funder types

Other

Identifiers

NCT04515173
"Six zero zero"robot

Details and patient eligibility

About

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.

Full 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.

Enrollment

4,000 estimated patients

Sex

All

Ages

18 to 60 years old

Volunteers

No Healthy Volunteers

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.

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

4,000 participants in 2 patient groups

Artificial intelligence group
Experimental group
Description:
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.
Treatment:
Diagnostic Test: Artificial intelligence diagnosis and treatment assistance system
General group
Other group
Description:
The subjects in this group only received routine drug therapy and routine outpatient follow-up evaluation
Treatment:
Diagnostic Test: Artificial intelligence diagnosis and treatment assistance system

Trial contacts and locations

0

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Central trial contact

Shanshan Su

Data sourced from clinicaltrials.gov

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