Latest AI and machine learning research in psychiatry for healthcare professionals.
Health behaviors such as physical activity and sleep affect mental health, but the effect of each health behavior varies substantially across individuals, limiting the usefulness of generic behavioral recommendations. We collected one year of continuous wearable and ecological momentary assessment data from 3,139 participants in the Intern Health Study (2018-2023), and examined individual-level as...
Animals integrate information over time and maintain persistent internal representations of cues to guide decision-making. How the underlying behavioral algorithms of individual animals depend on factors such as experience, developmental stage, or genotype remains poorly understood. Drift-diffusion models provide a powerful theoretical framework to describe and predict performance metrics across a...
Speech-based detection of cognitive impairment (CI) offers a promising non-invasive approach for early diagnosis, yet performance disparities across d...
Inhibition is a core cognitive control function whose competence is distributed across the population, with more extreme impairments in psychiatric co...
Psychiatric questionnaires are highly context sensitive and often only weakly predict subsequent symptom severity, which makes the prognostic relation...
Psychiatric disorders are fundamentally challenged by symptom heterogeneity, high comorbidity, and the absence of objective biomarkers, which together...
Patients with bipolar depression are at the highest risk for suicidal behavior, comprising ~10% of all deaths. In the critical period preceding attemp...
Scientific discovery pipelines typically involve complex, rigid, and time-consuming processes, from data preparation to analyzing and interpreting fin...
Perinatal depression (PD) is common and disabling, yet its longitudinal comorbidity patterns and predictability remain poorly understood. This study l...
Hypothalamic-pituitary-adrenal axis (HPA axis) dysregulation is a risk factor for poor mental and physical health. Animal studies indicate that DNA me...
Background and Aims: Alcohol use disorder (AUD) remains a major public health concern, with persistent disparities in access to evidence-based treatme...
Cognitive function, psychological processes, mental states, and behaviors are key dimensions of human subjective experience that separately relate to ...
Depression is a heterogeneous disorder, often diagnosed based on symptom co-occurrence. However, individuals may present with markedly different sympt...
The main challenges in the life of a child with autism are difficulties in communication, behavior, and social interaction. Early diagnosis of this ne...
Autism Spectrum Disorder (ASD) is a heterogenous condition that has no biologically relevant subtypes yet. Here, we utilized a multidimensional approa...
Neurological health score (NHS), indicating the health of brain and nervous system, helps in identifying high risk individuals, and in recommending li...
Loneliness and psychological well-being are increasingly recognized as critical public health concerns, yet their multi-factorial determinants remain ...
Mind-body practices like meditation and yoga, which are widely used to support mental health, involve paying attention to internal bodily sensations l...
Importance: Large language models (LLMs) have demonstrated diagnostic potential in several medical specialties, but their application to psychiatry - ...
Background. Antenatal depressive symptoms (ADS) are common and underdiagnosed, particularly in low and middle income countries, and are associated wit...