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Related Concept Videos

Antidepressant Drugs: MAOIs and Other Agents01:23

Antidepressant Drugs: MAOIs and Other Agents

Atypical antidepressants, including bupropion (Wellbutrin), mirtazapine (Remeron), nefazodone (Serzone), trazodone (Desyrel), and vilazodone (Viibryd), offer unique mechanisms of action. Bupropion weakly inhibits dopamine and norepinephrine reuptake, aiding depression treatment and smoking cessation, with a low risk of sexual dysfunction. Mirtazapine enhances serotonin and norepinephrine neurotransmission, leading to sedation, increased appetite, and weight gain. As a result, it helps treat...
Antidepressant Drugs: Overview01:25

Antidepressant Drugs: Overview

Antidepressant drugs are a class of medications primarily used for treating various mood disorders, including major depression, anxiety disorders, and other related conditions. These medicines work by modulating the neurotransmitter balance within the brain, alleviating depressive symptoms. Antidepressants can be broadly categorized into several groups according to their mechanism of action and chemical structure: Selective Serotonin Reuptake Inhibitors (SSRIs), Serotonin-Norepinephrine...
Antidepressant Drugs: Tricyclics, SSRIs, and SNRIs01:28

Antidepressant Drugs: Tricyclics, SSRIs, and SNRIs

Tricyclic Antidepressants (TCAs), including Desipramine (Norpramin), Imipramine (Tofranil), Clomipramine (Anafranil), and Amitriptyline (Elavil), inhibit serotonin and norepinephrine reuptake and also block other receptors. They are used for depression, pain conditions, and insomnia. Common adverse effects include anticholinergic effects, sedation, orthostatic hypotension, and weight gain. They have a narrow therapeutic window and so require plasma-level monitoring. Abrupt discontinuation can...
Drug Therapy01:28

Drug Therapy

The advent of drug therapy has profoundly shaped modern mental health care, providing targeted treatments for a range of psychological disorders. Psychotherapeutic drugs, classified into antianxiety, antidepressant, and antipsychotic medications, address symptoms across anxiety disorders, mood disorders, and schizophrenia. While these medications have transformed patient outcomes, they require careful management due to their potential side effects and limitations.
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Vagus Nerve Stimulation As an Adjunctive Neurostimulation Tool in Treatment-resistant Depression
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Machine Learning for Comparative Antidepressant Selection in Major Depressive Disorder: Systematic Review.

Fiona He1, Steven Huang2,3, Richard Wang4

  • 1Digital Transformation and Innovation, Faculty of Engineering, University of Ottawa, Ottawa, ON, Canada.

JMIR Mental Health
|May 13, 2026
PubMed
Summary
This summary is machine-generated.

Machine learning (ML) shows promise for selecting antidepressants for major depressive disorder (MDD), but comparative prediction models are still developing. Future research needs unified frameworks, external validation, and explainability for clinical use.

Keywords:
precision psychiatryantidepressantartificial intelligencemachine learningmajor depressive disorderpersonalized medicinetreatment outcometreatment selection

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Area of Science:

  • * Computational psychiatry
  • * Clinical informatics
  • * Pharmacogenomics

Background:

  • * Major depressive disorder (MDD) affects a significant portion of the adult population, yet treatment selection remains largely empirical.
  • * Current antidepressant selection methods have limited efficacy, with response rates between 42% and 53%.
  • * Existing machine learning (ML) models often predict outcomes for single treatments, not facilitating comparative selection.

Conclusions:

  • * ML for comparative antidepressant selection is nascent, with few studies directly supporting patient-level treatment ranking.
  • * Clinical translation is hindered by a lack of distinction between prognostic and predictive markers, limited external validation, and absent explainability.
  • * Future research should focus on unified comparative frameworks, rigorous external validation, and integrating explainability for improved clinical utility.