Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …

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 …

Background The impact of precision psychiatry for clinical practice has not been
systematically appraised. This study aims to provide a comprehensive review of validated …

Precision medicine is increasingly recognized as a promising approach to improve disease
treatment, taking into consideration the individual clinical and biological characteristics …

The prospective identification of children likely to develop schizophrenia is a vital tool to
support early interventions that can mitigate the risk of progression to clinical psychosis …

Abstract Background and Aim Schizophrenia and bipolar disorder (BD) are critical and high‐
risk inherited mental disorders with debilitating symptoms. Worldwide, 3% of the population …

Abstract Background Artificial Intelligence (AI) is expected to transform the work context
deeply. Currently, multiple AI systems are being studied and applied in the mental …

Background Despite a growing body of research into both Artificial intelligence and mental
health inpatient flow issues, few studies adequately combine the two. This review …

Background Short-term exposure to high level of ambient particulate matters (PM)
concentrations has been linked with increased hospital admissions (HA) for schizophrenia …

Objective Relapses and rehospitalization prevent the recovery of individuals with
schizophrenia or related psychoses. We aimed to build a model to predict the risk of …