Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Childhood trauma (CT) significantly increases vulnerability to adolescent major depressive disorder (MDD), yet the underlying neurobiological mechanisms remain unclear. METHODS: This study applied graph-theoretical analysis to structural MRI data to examine how CT influences brain structural networks and antidepressant treatment outcomes in adolescent MDD. A total of 339 adolescents wi...
INTRODUCTION: Perinatal medication consultation is a core clinical pharmacy service that involves a complex benefit-risk assessment for both maternal and fetal safety. Large language models (LLMs) have emerged as potential tools to improve access to medication information, yet their performance and safety in real-world, pharmacist-led perinatal consultation settings, particularly in non-English co...
BACKGROUND: Artificial intelligence (AI) and computerized clinical decision support systems (CDSS) are increasingly applied in intensive care, yet the...
BACKGROUND/AIM: Artificial intelligence-based chatbot systems are increasingly used for dental emergency guidance, yet the clinical value of sequentia...
OBJECTIVES: The effects of combining robot-assisted therapy (RAT) with other physiotherapy approaches in stroke rehabilitation are of current interest...
INTRODUCTION: Generative artificial intelligence (GenAI) such as ChatGPT, is increasingly used to generate research ideas, aid in literature reviews, ...
BACKGROUND: Medication errors remain a leading source of preventable harm in hospitalized patients, contributing to adverse drug events (ADEs), prolon...
The growing burden of mental illness and limited access to evidence-based psychotherapy have increased interest in artificial intelligence (AI)-driven...
Cancer outcomes remain starkly unequal: 5-year survival rates for common malignancies in low- and middle-income countries (LMICs) often lag 20-40 perc...
OBJECTIVE: To systematically evaluate the task-specific performance and clinical translational readiness of artificial intelligence (AI) applications ...
BACKGROUND: Highly accessible and scalable, digital mental health interventions can reduce barriers associated with traditional treatment. Woebot for ...
Immunogenicity risk assessment is a critical step in the therapeutic development process of biologics. However, anti-drug antibodies continue to occur...
As generative artificial intelligence (GenAI) becomes increasingly integrated into educational contexts, learners' interactions with AI systems have e...
For pharmacovigilance, the Pharmaceuticals and Medical Devices Agency in Japan has utilized real world data (RWD) from multiple sources, including ind...
The deep integration of artificial intelligence (AI) into organizational settings has significantly transformed employees' work patterns, underscoring...
OBJECTIVE: To evaluate the efficacy of a structured guidance framework articulate, brainstorm and benchmark, critique and customize, and decide and di...
BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) remains one of the most devastating types of stroke, with high mortality and long-term disabili...
Patients with spontaneous intracerebral hemorrhage (sICH) are at high risk for venous thromboembolism (VTE), a complication strongly associated with a...
This study presents a scientometric and state-of-the-art review of smart personal protective equipment (PPE) and wearable safety technologies (WSTs) i...
BACKGROUND: Given the increasing prevalence of depression and anxiety disorders and enduring barriers to care, there is a critical need for alternativ...