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Explainable artificial intelligence for mental health through transparency and interpretability for understandability

The literature on artificial intelligence (AI) or machine learning (ML) in mental health and psychiatry lacks consensus on what “explainability” means. In the more general XAI (eXplainable AI) literature, there has been some convergence on …

A participatory initiative to include LGBT+ voices in AI for mental health

Artificial intelligence (AI) can help clinicians to improve healthcare decision-making by integrating data from high-volume, heterogeneous electronic health records (EHRs). However, there is growing evidence that AI solutions in healthcare carry …

Changes in daily mental health service use and mortality at the commencement and lifting of COVID-19 ‘lockdown’ policy in 10 UK sites: a regression discontinuity in time design

To investigate changes in daily mental health (MH) service use and mortality in response to the introduction and the lifting of the COVID-19 lockdown policy in Spring 2020.

Cognitive performance in early, treatment-resistant psychosis patients: Could cognitive control play a role in persistent symptoms?

Approximately one third of psychosis patients fail to respond to conventional antipsychotic medication, which exerts its effect via striatal dopamine receptor antagonism. The present study aimed to investigate impaired cognitive control as a …

The temporal dynamics of sleep disturbance and psychopathology in psychosis: a digital sampling study

Sleep disruption is a common precursor to deterioration and relapse in people living with psychotic disorders. Understanding the temporal relationship between sleep and psychopathology is important for identifying and developing interventions which …

Examination of the neural basis of psychotic-like experiences in adolescence during processing of emotional faces

Contemporary theories propose that dysregulation of emotional perception is involved in the aetiology of psychosis. 298 healthy adolescents were assessed at age 14- and 19-years using fMRI while performing a facial emotion task. Psychotic-like …

A symptom combination predicting treatment-resistant schizophrenia – A strategy for real-world clinical practice

Early identification of symptoms that can predict treatment-resistant schizophrenia (TRS) could help clinicians to avoid delays in clozapine therapy. This study aims to investigate symptom patterns that could predict TRS using a discovery/replication …

When Deploying Predictive Algorithms, Are Summary Performance Measures Sufficient?

The last decade’s growth in artificial intelligence, machine learning, and statistical methods for high-dimensional data has driven a zeitgeist of prediction (or forecasting) in medicine and psychiatry. Algorithms for prediction require a model that …

Exacerbation of Psychosis During the Perimenstrual Phase of the Menstrual Cycle: Systematic Review and Meta-analysis

Psychotic disorders can be exacerbated by the hormonal changes associated with childbirth, but the extent to which exacerbations occur with the menstrual cycle is unclear. We addressed this issue by conducting a systematic review. Embase, Medline, …

Associations Between Non-neurological Autoimmune Disorders and Psychosis: A Meta-analysis.

BACKGROUND: A relationship between non-neurological autoimmune (NNAI) disorders and psychosis has been widely reported but not yet subjected to meta-analysis. We conducted the first meta-analysis examining the association between NNAI disorders and …