Latest AI and machine learning research in bipolar disorder for healthcare professionals.
To prevent clozapine-induced agranulocytosis (CIA), patients’ white blood cell counts are closely mo...
Guidance is lacking on choice of first-line antipsychotic for individuals with incident severe menta...
The bidirectional relationship between sleep disturbances and depression presents a serious challeng...
Recent technologies for quantifying behavior have revolutionized animal studies in social, cognitive...
Despite major depressive disorder (MDD) being the leading cause of disability worldwide, the exact c...
Late-life depression (LLD) is prevalent in older adults and linked to increased disability, mortalit...
Digital phenotyping, which takes advantage of data continuously gathered from smartphones and wearab...
Despite increasingly widespread use of artificial intelligence-driven ambient scribes in medicine, t...
Major depressive disorder (MDD) is a heterogeneous neuropsychiatric disorder with highly variable an...
Epilepsy is a neurological disorder that affects approximately 1% of the global population. The curr...
Bipolar disorder is characterized by marked changes in mood and activity levels and is a leading cau...
Steroid hormone profiles in affective disorders suggest hypothalamic– pituitary–adrenal (HPA) axis d...
Major depressive disorder (MDD) is a leading cause of disability worldwide, yet treatment response t...
There is a growing interest in performing automated, longitudinal tracking of sleep in the home envi...
Weight gain is a common side effect in patients treated with olanzapine (N05AH03), contributing to i...
Patients recently discharged from psychiatric hospitalization are at increased risk of intentional s...
Clinical symptoms in serious mental illness (SMI) fluctuate dynamically, yet standard interview-base...
Conversational agents based on large language models (LLMs) have shown moderate efficacy in reducing...
Machine learning models have increasingly been used to identify predictors of treatment response in ...
A neurobiologically-based diagnosis with superior reliability in place of clinical interview-based d...
Machine learning approaches pave a promising avenue to advance individual predictions about psychiat...