Using AI to improve diagnosis of mood disorders
Recognition/Classification/Auxiliary Diagnosis of Affective Disorder Based on AI:A Multi-center Study
This study is testing whether using artificial intelligence can help doctors diagnose bipolar disorder and major depression more accurately in people aged 15 to 55.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 960 (estimated) |
| Ages | 15 Years to 55 Years |
| Sex | All |
| Sponsor | First Affiliated Hospital of Zhejiang University Academic / other |
| Locations | 1 site (Hangzhou, Zhejiang) |
| Trial ID | NCT05608135 on ClinicalTrials.gov |
What this trial studies
This observational study aims to enhance the diagnosis of bipolar disorder and major depression by utilizing artificial intelligence to analyze psychological and physiological data. By collecting information on personality traits, negative emotions, and cognitive responses, the researchers intend to develop a multidimensional emotion recognition model. This model will provide a more objective and reliable diagnostic tool compared to traditional methods that rely heavily on subjective assessments. The study focuses on individuals aged 15-55 who meet specific diagnostic criteria for mood disorders.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals aged 15-55 diagnosed with major depression or bipolar disorder.
Not a fit: Patients with schizophrenia or serious neurological conditions will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to more accurate and early diagnoses of mood disorders, improving treatment outcomes for patients.
How similar studies have performed: While the use of AI in diagnosing mood disorders is an emerging field, similar studies have shown promise in improving diagnostic accuracy through objective measures.
Eligibility criteria
Show full inclusion / exclusion criteria
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.
Where this trial is running
Hangzhou, Zhejiang
- The First Affiliated Hospital of Zhejiang University — Hangzhou, Zhejiang, China (Recruiting)
Study contacts
- Study coordinator: Hu ShaoHua, M.D
- Email: dorhushaohua@zju.edu.cn
- Phone: +86 13357169115
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.