[HTML][HTML] Methodological and quality flaws in the use of artificial intelligence in mental health research: systematic review

R Tornero-Costa, A Martinez-Millana… - JMIR Mental …, 2023 - mental.jmir.org
Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …

Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis

M Sajjadian, RW Lam, R Milev, S Rotzinger… - Psychological …, 2021 - cambridge.org
Background Multiple treatments are effective for major depressive disorder (MDD), but the
outcomes of each treatment vary broadly among individuals. Accurate prediction of …

[HTML][HTML] Machine learning and individual variability in electric field characteristics predict tDCS treatment response

A Albizu, R Fang, A Indahlastari, A O'Shea, SE Stolte… - Brain stimulation, 2020 - Elsevier
Background Transcranial direct current stimulation (tDCS) is widely investigated as a
therapeutic tool to enhance cognitive function in older adults with and without …

Association between tDCS computational modeling and clinical outcomes in depression: data from the ELECT-TDCS trial

PJC Suen, S Doll, MC Batistuzzo, G Busatto… - European archives of …, 2021 - Springer
Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation intervention
investigated for the treatment of depression. Clinical results have been heterogeneous …

Non-invasive cortical stimulation: Transcranial direct current stimulation (tDCS)

P Sudbrack-Oliveira, LB Razza, AR Brunoni - International Review of …, 2021 - Elsevier
Transcranial direct current stimulation (tDCS) is a re-emerging non-invasive brain
stimulation technique that has been used in animal models and human trials aimed to …

The intervention, the patient and the illness–personalizing non-invasive brain stimulation in psychiatry

F Padberg, L Bulubas, Y Mizutani-Tiebel… - Experimental …, 2021 - Elsevier
Current hypotheses on the therapeutic action of non-invasive brain stimulation (NIBS) in
psychiatric disorders build on the abundant data from neuroimaging studies. This makes …

[HTML][HTML] Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function

MBB Heyat, F Akhtar, F Munir, A Sultana… - Complex & Intelligent …, 2024 - Springer
Depression is a multifactorial disease with unknown etiology affecting globally. It's the
second most significant reason for infirmity in 2020, affecting about 50 million people …

The potential of precision psychiatry: what is in reach?

L Kambeitz-Ilankovic, N Koutsouleris… - The British Journal of …, 2022 - cambridge.org
Progress in developing personalised care for mental disorders is supported by numerous
proof-of-concept machine learning studies in the area of risk assessment, diagnostics and …

[HTML][HTML] Superior temporal gyrus functional connectivity predicts transcranial direct current stimulation response in Schizophrenia: A machine learning study

AK Paul, A Bose, SV Kalmady, V Shivakumar… - Frontiers in …, 2022 - frontiersin.org
Transcranial direct current stimulation (tDCS) is a promising adjuvant treatment for persistent
auditory verbal hallucinations (AVH) in Schizophrenia (SZ). Nonetheless, there is …

Clinical and demographic predictors of response to anodal tDCS treatment in major depression disorder (MDD)

M Rezaei, MMS Bagheri, M Ahmadi - Journal of Psychiatric Research, 2021 - Elsevier
Transcranial direct current stimulation (tDCS) of the prefrontal cortex is known as a
promising intervention in major depression disorder (MDD). However, limited information on …