Artificial Intelligence in Mental Illness Diagnosis and Treatment
- Conditions
- Mental IllnessArtificial Intelligence
- Interventions
- Diagnostic Test: Artificial intelligence diagnosis and treatment assistance system
- Registration Number
- NCT04515173
- Lead Sponsor
- Shanghai Mental Health Center
- 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.
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 4000
- 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.
- 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 & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description General group Artificial intelligence diagnosis and treatment assistance system The subjects in this group only received routine drug therapy and routine outpatient follow-up evaluation Artificial intelligence group Artificial intelligence diagnosis and treatment assistance system 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.
- Primary Outcome Measures
Name Time Method System sensitivity Baseline The proportion that the system correctly determines people who are actually sick to be true.
System specificity Baseline The proportion that the system correctly determines people who are actually disease-free to be true negative.
Recurrence rate 24 weeks Total number of patients with recurrence or recurrence of symptoms/total number of patients involved in the study
Cure rate 24 weeks End of the period reached the total number of clinically cured patients / total number of all patients involved in the study
- Secondary Outcome Measures
Name Time Method Patients' satisfaction Baseline, 12 weeks, 24 weeks The degree of patient satisfaction with the system
Clinical global impressions Baseline, 12 weeks, 24 weeks The score of clinical global impressions scale(CGI)
Doctors' satisfaction Baseline, 12 weeks, 24 weeks The degree of doctors' satisfaction with the system
Social function Baseline, 12 weeks, 24 weeks The score of social disability screening schedule(SDSS）