Latest AI and machine learning research in psychiatry for healthcare professionals.
This study provides a comprehensive medical ecology analysis of gut microbiome alterations in four neuropsychiatric disorders: Alzheimer’s disease (AD), Parkinson’s disease (PD), autism spectrum disorder (ASD), and the mood disorders (MDs) including major depressive disorder (MDD) (depression) and bipolar disorder (BD). Using diversity, heterogeneity, specificity, and AI/machine learning approache...
Clinical phenotyping is the process of extracting patient’s observable symptoms and traits to better understand their disease condition. Suicide phenotyping focuses more on behavioral and cognitive characteristics, such as suicide ideation, attempt, and self-injury, to identify suicide risks and improve interventions. In this study, we leveraged the latest reasoning models, namely 4o, o1, and o3-m...
Biomarker research in psychopathology increasingly employs high-dimensional omics approaches. Yet, proteomics based on human hair remain largely unexp...
Major depressive disorder (MDD) remains challenging to treat, with many patients failing to respond adequately to existing therapies. Patients with MD...
People living with HIV (PLWH) are more likely to experience suicidal thoughts and exhibit suicidal behavior than the general population. However, ther...
Depression is associated with alterations in immuno-metabolic biomarkers, but it remains unclear whether these alterations are limited to specific mar...
Despite CBT’s status as a first-line treatment, a substantial proportion of patients does not experience sufficient symptom relief. Recent advances in...
Psychiatric electronic health records present unique challenges for machine learning due to their unstructured, complex, and variable nature. This stu...
Post-Traumatic Stress Disorder (PTSD) is a debilitating mental health condition commonly treated with medications like benzodiazepines (BZDs), despite...
Schizophrenia and bipolar disorder are severe mental illnesses that significantly impact quality of life. These disorders are associated with autonomi...
Large language models (LLMs) offer potential benefits in clinical care. However, concerns remain regarding socio-demographic biases embedded in their ...
The Canadian healthcare system is approaching a breaking point. With mental health being a leading cause of disability, innovative solutions are neces...
Recent advances in large language models (LLMs) have prompted a frenzy in utilizing them as universal translators for biomedical terms. However, the b...
Traditional subjective measures are limited in the insight they provide into underlying behavioral differences associated with autism and, accordingly...
Accurate identification of individuals with treatment-resistant depression (TRD) is important to facilitate timely access to appropriate care. However...
Develop a neighborhood-level framework using machine learning and causal inference to identify socioeconomic and behavioral drivers of Type 2 diabetes...
AI-powered conversational agents have proven effective in alleviating psychological distress, however, concerns about autonomy and authentic psycholog...
Sleep quality is vital to human health, yet automated sleep staging faces challenges in cross-center generalization due to data scarcity and domain ga...
The Safety Planning Intervention (SPI) produces a plan to help manage patients’ suicide risk. High-quality safety plans – that is, those with greater ...
Early detection of youth depression is crucial, given its rising prevalence and long-term consequences. Although genetic factors contribute significan...