Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom

EE Lee, J Torous, M De Choudhury, CA Depp… - Biological Psychiatry …, 2021 - Elsevier
Artificial intelligence (AI) is increasingly employed in health care fields such as oncology,
radiology, and dermatology. However, the use of AI in mental health care and …

Annual research review: enduring neurobiological effects of childhood abuse and neglect

MH Teicher, JA Samson - Journal of child psychology and …, 2016 - Wiley Online Library
Background Childhood maltreatment is the most important preventable cause of
psychopathology accounting for about 45% of the population attributable risk for childhood …

[HTML][HTML] Common and distinct patterns of intrinsic brain activity alterations in major depression and bipolar disorder: voxel-based meta-analysis

J Gong, J Wang, S Qiu, P Chen, Z Luo, J Wang… - Translational …, 2020 - nature.com
Identification of intrinsic brain activity differences and similarities between major depression
(MDD) and bipolar disorder (BD) is necessary. However, results have not yet yielded …

Machine learning in major depression: From classification to treatment outcome prediction

S Gao, VD Calhoun, J Sui - CNS neuroscience & therapeutics, 2018 - Wiley Online Library
Aims Major depression disorder (MDD) is the single greatest cause of disability and
morbidity, and affects about 10% of the population worldwide. Currently, there are no …

[HTML][HTML] Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis

T Wise, J Radua, E Via, N Cardoner, O Abe… - Molecular …, 2017 - nature.com
Finding robust brain substrates of mood disorders is an important target for research. The
degree to which major depression (MDD) and bipolar disorder (BD) are associated with …

Cross-disorder analysis of brain structural abnormalities in six major psychiatric disorders: a secondary analysis of mega-and meta-analytical findings from the …

N Opel, J Goltermann, M Hermesdorf, K Berger… - Biological …, 2020 - Elsevier
Background Neuroimaging studies have consistently reported similar brain structural
abnormalities across different psychiatric disorders. Yet, the extent and regional distribution …

Implementing precision psychiatry: a systematic review of individualized prediction models for clinical practice

G Salazar de Pablo, E Studerus… - Schizophrenia …, 2021 - academic.oup.com
Background The impact of precision psychiatry for clinical practice has not been
systematically appraised. This study aims to provide a comprehensive review of validated …

Towards a brain‐based predictome of mental illness

B Rashid, V Calhoun - Human brain mapping, 2020 - Wiley Online Library
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

[HTML][HTML] From estimating activation locality to predicting disorder: a review of pattern recognition for neuroimaging-based psychiatric diagnostics

T Wolfers, JK Buitelaar, CF Beckmann, B Franke… - Neuroscience & …, 2015 - Elsevier
Psychiatric disorders are increasingly being recognised as having a biological basis, but
their diagnosis is made exclusively behaviourally. A promising approach for …

Machine learning approaches for clinical psychology and psychiatry

DB Dwyer, P Falkai… - Annual review of clinical …, 2018 - annualreviews.org
Machine learning approaches for clinical psychology and psychiatry explicitly focus on
learning statistical functions from multidimensional data sets to make generalizable …