Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Climate change increasingly threatens global agriculture by intensifying abiotic stresses and destabilizing crop productivity, necessitating a deeper understanding of root-mediated traits governing resource acquisition and stress resilience. Here, we synthesize recent advances in root-centered plant phenomics, emphasizing how high-throughput phenotyping (HTP) enables high-resolution, scalable char...
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...
BACKGROUND: Adolescents are highly vulnerable to mental health conditions, yet traditional counseling models may not fully address their evolving need...
The expanding footprint of human radiation exposure, driven by advances in interventional diagnostics, the resurgence of the nuclear industry and the ...
INTRODUCTION: The goal of this research is to use machine learning (ML) techniques to create a risk prediction model for postpartum stress urinary inc...
INTRODUCTION: Cardiovascular and cerebrovascular diseases (CCVDs) pose a severe global health threat, particularly among middle-aged and elderly popul...
BACKGROUND: Major depressive disorder (MDD) and treatment-resistant depression (TRD) are heterogeneous conditions in which key clinical details are sp...
Needle and blood-injection-injury phobia is commonly encountered in the perioperative setting. It can significantly disrupt operating room throughput,...
The successful integration of artificial intelligence (AI) in healthcare hinges on user acceptance, which is influenced by cognitive, emotional, and c...
Postmenopausal females diagnosed with breast cancer who are undergoing aromatase inhibitor (AI) therapy often exhibit metabolic disturbances, which ma...
OBJECTIVE: To develop an interpretable ensemble machine-learning model to support risk stratification of elevated depression- and anxiety-related psyc...
Acute kidney injury (AKI) associated with sepsis has a high clinical mortality rate, and there is a lack of effective therapeutic targets; uncontrolle...
BACKGROUND: Neurodegenerative and psychiatric disorders, including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and ...
This study explores the psychological transformation and contradictions arising from Generative AI (Gen-AI)-mediated language learning. Using Cultural...
Mental health problems (MHPs) among university students are an increasing public health concern globally, including in Bangladesh. While machine learn...
Generalized anxiety disorder (GAD) is characterized by chronic worry and emotional dysregulation, yet its underlying white matter (WM) microstructural...
Laughter-related dispositions, including gelotophobia (fear of being laughed at), gelotophilia (enjoyment of being laughed with), and katagelasticism ...
This mixed-methods study examined listening strategies, anxiety, and achievement among 436 vocational college EFL students in an AI-augmented blended ...
Polystyrene microplastics (PS-MPs), recognized as widespread environmental contaminants, have been identified within human articular tissues. However,...
Antibiotic treatment failure, often driven by non-genetic mechanisms such as tolerance and persistence, remains a major global health challenge. β $\b...