Latest AI and machine learning research in psychiatry for healthcare professionals.
Internet-based cognitive behaviour therapy (ICBT) is now a well-established treatment modality supported by numerous controlled trials. Platforms for delivering these interventions have become critical infrastructure for both research and clinical practice, yet platform descriptions remain rare in the literature. In this article, we provide an updated description of the Iterapi platform, originall...
BACKGROUND: Pediatric idiopathic intracranial hypertension can be challenging to diagnose; magnetic resonance imaging (MRI) signs are considered supportive, while lumbar puncture remains the diagnostic reference. OBJECTIVE: We evaluated whether a compact set of conventional magnetic resonance imaging markers, analyzed with supervised machine-learning, can assist in the diagnosis of idiopathic intr...
Artificial intelligence (AI) methods, including machine learning (ML), are transforming healthcare by enabling personalized interventions that integra...
Mental health disorders in the workplace pose a significant global public health challenge, often resulting in reduced productivity. Timely and accura...
Automation of sleep analysis, including both macrostructural (sleep stages) and microstructural (e.g., sleep spindles) elements, promises to enable la...
BACKGROUND: Adolescents are highly vulnerable to mental health conditions, yet traditional counseling models may not fully address their evolving need...
Predicting who will deteriorate under stress is important for targeting mental-health support; yet, treatment-effect models are rarely tested across p...
Depression and psoriasis are highly comorbid, yet their shared molecular mechanisms remain poorly understood. Utilizing cross-sectional data from NHAN...
BACKGROUND: This study aimed to establish and validate interpretable Machine Learning (ML) models for predicting falls and fall-related injuries in mi...
BACKGROUND: Geriatric depression is a prevalent mental health condition whose risk profile may vary across age strata. This study examined whether dep...
Suicide screening in military primary care settings is often conducted with a small number of self-report questions. The PRImary care Screening Method...
Objective.Attention deficit hyperactivity disorder (ADHD) remains challenging to diagnose objectively and often relies on subjective clinical assessme...
Glycogen synthase kinase-3β (GSK3β) has emerged as one of the most thoroughly validated therapeutic targets in modern drug discovery, with dysregulati...
BACKGROUND: Major depressive disorder (MDD) and treatment-resistant depression (TRD) are heterogeneous conditions in which key clinical details are sp...
BACKGROUND: With the integration of artificial intelligence (AI) into various medical specialties, its role in aesthetic surgery is rapidly gaining tr...
Needle and blood-injection-injury phobia is commonly encountered in the perioperative setting. It can significantly disrupt operating room throughput,...
Depression is a common mental health illness that affects hundreds of millions of people worldwide. In Saudi Arabia, depression is considered a major ...
This study investigates how individuals across different age groups use and perceive AI chatbots for health and fitness management. A quantitative sur...
The successful integration of artificial intelligence (AI) in healthcare hinges on user acceptance, which is influenced by cognitive, emotional, and c...
Suicide is currently the leading cause of preventable death among young people, yet early identification of reattempt risk remains limited by its mult...