Prefrontal cortex and depression

DA Pizzagalli, AC Roberts�- Neuropsychopharmacology, 2022 - nature.com
The prefrontal cortex (PFC) has emerged as one of the regions most consistently impaired in
major depressive disorder (MDD). Although functional and structural PFC abnormalities�…

[HTML][HTML] Application of artificial intelligence on psychological interventions and diagnosis: an overview

S Zhou, J Zhao, L Zhang�- Frontiers in Psychiatry, 2022 - frontiersin.org
Background Innovative technologies, such as machine learning, big data, and artificial
intelligence (AI) are approaches adopted for personalized medicine, and psychological�…

An insight into diagnosis of depression using machine learning techniques: a systematic review

S Bhadra, CJ Kumar�- Current medical research and opinion, 2022 - Taylor & Francis
Background In this modern era, depression is one of the most prevalent mental disorders
from which millions of individuals are affected today. The symptoms of depression are�…

A systematic meta-review of patient-level predictors of psychological therapy outcome in major depressive disorder

M Tanguay-Sela, C Rollins, T Perez, V Qiang…�- Journal of affective�…, 2022 - Elsevier
Background Psychological therapies are effective for treating major depressive disorder, but
current clinical guidelines do not provide guidance on the personalization of treatment�…

[HTML][HTML] Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets

K Perlman, J Mehltretter, D Benrimoh…�- Translational�…, 2024 - nature.com
Major depressive disorder (MDD) is the leading cause of disability worldwide, yet treatment
selection still proceeds via “trial and error”. Given the varied presentation of MDD and�…

Biomarkers of ketamine's antidepressant effect: An umbrella review

S Meshkat, RC Ho, B Cao, KM Teopiz…�- Journal of Affective�…, 2023 - Elsevier
Ketamine is a NMDA receptor antagonist that has a rapid acting antidepressant effect with
high efficacy in treatment-resistant patients. Ketamine is a beneficial antidepressant for�…

Artificial intelligence in mental healthcare: an overview and future perspectives

KW Jin, Q Li, Y Xie, G Xiao�- The British Journal of Radiology, 2023 - academic.oup.com
Artificial intelligence is disrupting the field of mental healthcare through applications in
computational psychiatry, which leverages quantitative techniques to inform our�…

Depression detection from social media text analysis using natural language processing techniques and hybrid deep learning model

V Tejaswini, K Sathya Babu, B Sahoo�- ACM Transactions on Asian and�…, 2024 - dl.acm.org
Depression is a kind of emotion that negatively impacts people's daily lives. The number of
people suffering from long-term feelings is increasing every year across the globe�…

[HTML][HTML] Evaluating the clinical feasibility of an artificial intelligence–powered, web-based clinical decision support system for the treatment of depression in adults�…

C Popescu, G Golden, D Benrimoh…�- JMIR formative�…, 2021 - formative.jmir.org
Background: Approximately two-thirds of patients with major depressive disorder do not
achieve remission during their first treatment. There has been increasing interest in the use�…

Applying artificial intelligence to clinical decision support in mental health: What have we learned?

G Golden, C Popescu, S Israel, K Perlman…�- Health Policy and�…, 2024 - Elsevier
Clinical decision support systems (CDSS) augmented with artificial intelligence (AI) models
are emerging as potentially valuable tools in healthcare. Despite their promise, the�…