Latest AI and machine learning research in psychiatry for healthcare professionals.
Skorobogatov et al. developed supervised machine learning models to predict diagnoses and illness st...
OBJECTIVE: Facial images have been shown to convey mental conditions as clinical symptoms. This stud...
Thyroid illness encompasses a range of disorders affecting the thyroid gland, leading to either hype...
: Early diagnosis of depression is crucial for effective treatment and suicide prevention. Tradition...
BACKGROUND: Artificial intelligence (AI) has become increasingly important in health care, generatin...
Memory deficits are a hallmark of many different neurological and psychiatric conditions. The Rey-Os...
There is a silent pandemic of suicides around the world, with an exponential increase in suicidality...
Electrophysiological (EP) signals are key biomarkers for monitoring mental fatigue (MF) and general ...
Major Depressive Disorder (MDD) is a common mental disorder characterized by cognitive impairment, a...
Since the outbreak of the COVID-19 pandemic, there has been a global surge in patients presenting wi...
The application of deep learning techniques to analyze brain functional magnetic resonance imaging (...
BACKGROUND: The genetic determinants of peripartum depression (PPD) are not fully understood. Using ...
INTRODUCTION: Major depressive disorder (MDD) is a common, relapse-prone psychiatric disorder with u...
PURPOSE: The latest reform of French medical studies has moved the National Ranking Examination befo...
BackgroundThe idea that people will lose their jobs because of robots with artificial intelligence i...
BACKGROUND: There are numerous papers focusing on diagnosing mental health disorders using unimodal ...
AIM: Metacognitive Reflection and Insight Therapy (MERIT) is a form of person-centred psychotherapy ...
BACKGROUND: Restrictive repetitive behaviors (RRBs) and sensory processing disorders are core sympto...
BACKGROUND: Suicidal behaviors, which may lead to death (suicide) or survival (suicide attempt), are...
This study investigated the utilization of digital phenotypes and machine learning algorithms to pre...
UNLABELLED: Machine learning (ML) based on remote video has shown ideal diagnostic value in autism s...