Latest AI and machine learning research in psychiatry for healthcare professionals.
The Covid-19 outbreak has adversely influenced university students across the world both physically and psychologically. The psychological struggle faced by students, is effected by various factors, including disruptions to daily routines and academic activities, increased reliance on smartphones and the internet, limited social interaction, and confinement to their homes. These impediments reflec...
Anxiety has been linked to difficulty sustaining engagement with ongoing tasks, even when continued engagement would yield greater rewards, yet the underlying mechanisms remain unclear. Here we examined how trait anxiety shapes sequential foraging decisions using a patch-leaving task grounded in the Marginal Value Theorem (MVT), a normative framework for explore - exploit decisions previously used...
Given the widespread prevalence of depression and its consequential impact on individuals and society, it is crucial to obtain objective measures for ...
As neuroimaging analysis shifts toward large-scale, multi-site studies, managing the unwanted variability introduced by combining heterogeneous datase...
Background: Suicide prediction models in psychiatry often rely on purely data-driven feature selection, which can produce unstable and clinically opaq...
Background: Generative artificial intelligence (GenAI) tools, including large language model (LLM)-based platforms such as ChatGPT, Google Gemini, and...
Anxiety is associated with altered patterns of attention to images and objects, but how it influences the perception of continuous experiences remains...
Mental illnesses among drug users are an increasing international issue, particularly in regions where early detection cannot be easily undertaken. Th...
Mental health assessment commonly relies on isolated screening instruments or data-driven models that often lack interpretability and multi-dimensiona...
Early detection of schizophrenia (SZ) remains challenging due to the subtlety of early-stage brain alterations and reliance on subjective clinical ass...
Background: Veterans face an elevated risk of suicide compared to the general population, motivating national efforts to develop predictive models tha...
Background: Suicide remains a significant and potentially preventable cause of death among United States veterans. Predictive models based on structur...
Background: Children and young people (CYP) are particularly affected by mental health problems. Mobile apps provide a scalable and accessible approac...
Importance. Large language models (LLMs) increasingly inform mental health decisions by patients and clinicians. Inference-time activation steering ca...
Psychosis as a symptom manifests in schizophenia and bipolar disorder, two highly heterogeneous psychiatric illnesses with overlapping clinical manife...
Objective. To preserve the encoding of visual information in prosthetic vision as close to natural as possible, subretinal photovoltaic implants, whic...
Psychosis prevention relies on early detection of individuals at clinical high risk for psychosis (CHR-P). The effectiveness of the CHR-P state is con...
Anxiety and depression are globally prevalent conditions associated with maladaptive decision making. However, whether affective symptoms primarily am...
Post-traumatic stress disorder (PTSD) in veterans is characterized by persistent hyperarousal and comorbid anxiety and depressive symptoms that are di...
The escalating demand for mental healthcare, driven by rising societal stress, highlights the limitations of traditional psychiatric diagnostics. Conv...