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

The rh-CSF1 improves mitochondrial function and cell apoptosis in neurons under oxygen-glucose deprivation

[Objective] To investigate the mechanism by which Colony Stimulating Factor-1 (CSF1) inhibits apoptosis in neurons subjected to oxygen-glucose deprivation (OGD). [Methods] Primary rat cortical neurons were divided into t...

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,...

Stereotactic electroencephalography-guided electrical stimulation-induced smile and laughter: a report of two cases

The network of laughter/smile production and propagation in the brain is not yet fully understood. In this paper, we report two cases of medically refractory epilepsy patients with stereotactic EEG implantation, in which...

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...

Advancements in the application of telemedicine for epilepsy patient management

Telemedicine, particularly during the COVID-19 pandemic, has rapidly evolved and been widely adopted worldwide, notably enhancing epilepsy patient management. Literature review reveals effective remote consultations and...

Download PDF file
  • EP ID EP759200
  • DOI 10.3969/j.issn.1002-0152.2024.11.010
  • Views 25
  • Downloads 0

How To Cite

Li LI, Zhe LI (2024). Research progress of artificial intelligence technology in clinical management of depression. Chinese Journal of Nervous and Mental Diseases, 50(11), -. https://europub.co.uk/articles/-A-759200