AI-based Multi-center Research on Identification/Classification/Aided Diagnosis of Mood Disorder

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

RECRUITING

Total Enrollment

960 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-12-01

Study Completion Date

2025-12-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

At present, diagnosis and recognition of depression and bipolar disorder are mainly based on subjective evidence such as clinical interview and scale evaluation. The corresponding diagnosis basis has some shortcomings, such as poor diagnostic reliability and failure in early identification of bipolar disorder. Therefore, it is of great significance to explore objective diagnostic indicators to remedy the deficiencies.

Therefore，the investigators collect psychological and physiological information data of patients with bipolar disorder and depression.Then the investigators aim to construct and verify the multidimensional emotion recognition model to analyze the personality characteristics, negative emotions and cognitive reactions of different individuals, and form a systematic accurate recognition and evaluation tool.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

Multimodal Identification of Depressive Symptoms in the Elderly

NCT07112118

Depression

NOT_YET_RECRUITING

Validation of the Accuracy of an AI-Based System for Diagnosing Depressive Disorders

NCT07311668

Depressive Disorder

NOT_YET_RECRUITING

Sensor-based Characterization of Depression

NCT04370002

Unipolar Depression

RECRUITING

Establish a Specific Cohort Database for Depressive Disorders

NCT05095662

Depressive Disorder

ACTIVE_NOT_RECRUITING

AI-Powered Mental Health Screening in University Students

NCT07092085

Mental Disease

COMPLETED

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Bipolar Disorder Depression Major Depression

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. Age 15-55, regardless of gender;
2. The brief International Neuropsychiatric Interview Chinese version (MINI) was used to meet the diagnostic criteria for DSM-IV-TR depressive disorder or bipolar disorder (type I);
3. Total score of Hamilton Depression Scale (HAMD-17) ≥17, and Young's Manic Scale (YMRS) ≤6;
4. Junior high school or above.

Exclusion Criteria

1. The patient conforms to DSM-IV schizophrenia and related spectrum disorders.
2. The patient has a history of severe head trauma (loss of consciousness for more than 5 minutes), current or previous history of epilepsy, intracranial hypertension, or other serious neurological diseases;
3. Had a history of alcohol or psychoactive substance abuse/dependence in the 6 months prior to the test;
4. Those considered unsuitable for inclusion by the researcher.

Minimum Eligible Age

15 Years

Maximum Eligible Age

55 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes