Research progress of artificial intelligence technology in clinical management of depression
Journal Title: Chinese Journal of Nervous and Mental Diseases - Year 2024, Vol 50, Issue 11
Abstract
Depression is a group of diseases characterized by significant and persistent emotional or mental depression, which imposes a heavy burden on families and society. However, the early identification, diagnosis, differential diagnosis, and treatment of depression are often hindered by the lack of objective indicators. In recent years, artificial intelligence (AI) technology has gradually been applied in the clinical diagnosis, treatment, and management of depression, providing a more objective and efficient method for the diagnosis and treatment of depression. The integration of AI technology with rating scales and physiological indicators can enhance the diagnostic accuracy of depression. AI technology, based on neuroimaging, peripheral biomarkers, and multimodal approaches, holds value in distinguishing depression from bipolar depression. Additionally, AI technology can be applied to pharmacological, psychological, and physical treatments for depression, as well as to health management and early prediction. This article aims to provide new insights and evidence for the better application of AI technology in the clinical management of depression.
Authors and Affiliations
Li LI, Zhe LI
Keywords
Related Articles
- EP ID EP759200
- DOI 10.3969/j.issn.1002-0152.2024.11.010
- Views 66
- Downloads 0
A case of spinocerebellar ataxia type 8 presenting with multiple system atrophy cerebral type
We report a case of spinocerebellar ataxia type 8 (SCA8) presenting with multisystem atrophic phenotype. The patient was a 57-year-old male with a 4-year course of illness with dizziness and ataxia as the first symptoms,...
Fibrocartilage embolic spinal cord infarction with intervertebral disc-herniation: Two case report
The clinical features, imaging data and prognosis of 2 patients with spinal cord infarction were summarized. Both patients presented with acute onset paraplegia and urinary retention. Spinal MRI showed high T2 signal and...
The clinical value of visual evoked potential in assessing visual pathway of visual hallucinations in Parkinson disease
[Objective] This research was to evaluate the integrity of visual pathways in patients with Parkinson disease (PD) by visual evoked potential (VEP), especially those with visual hallucinations. [Methods] A total of 76 PD...
Research progress of sensory and perceptual abnormalities in children with autism spectrum disorder
Sensory and perceptual abnormalities are one of the symptoms of children with autism spectrum disorder (ASD), which have a profound impact on children's social interaction, learning and overall function. The clinical fea...
Study on the mechanism of losartan reducing the risk of comorbid depression in epileptic rats
[Objective] To investigate the effectiveness and mechanisms of losartan in improving comorbid depression in epileptic rats. [Methods] Male rats were randomly divided into three groups: The losartan-pilocarpine group (PL-...