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Psychological safety and trust as drivers of teachers' continued use of AI tools in classrooms.

Scientific reports
Despite AI tools hold significant potential to enhance English language teaching in primary education, their sustained adoption by teachers remains inconsistent. A key gap in current research is the lack of understanding of how psychological factors ...

Deep adversarial learning identifies ADHD-specific associations between apoptotic genes and white matter microstructure in frontal-striatum-cerebellum circuit.

Translational psychiatry
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by genetic predisposition and alterations in brain structural connectivity. While existing studies have established associations between genetic variants a...

Robot-assisted gait training after severe traumatic brain injury for walking ability and social participation: protocol for a feasibility study.

BMJ open
INTRODUCTION: Traumatic brain injury (TBI) is a traumatic head injury that can lead to gait-related disabilities, and exoskeleton training may be beneficial for the recovery of this function in these patients. The objective of this study is to determ...

Young infants with bronchiolitis at low risk of respiratory deterioration in an urban, academic emergency department: prospective cohort study protocol.

BMJ open
INTRODUCTION: Bronchiolitis, a viral lower respiratory tract infection, is the leading cause of hospitalisation for infants, with healthcare utilisation highest among young infants (aged ≤90 days). Clinical models to predict respiratory deterioration...

Streamlining organ donation: impact of an artificial intelligence-based protocol post-brain death.

BMJ open quality
BACKGROUND: Delays in organ retrieval following brain death (BD) can compromise organ viability, increasing the risk of post-transplant complications. In 2021, the Transplant Authority of Tamil Nadu, India, implemented an artificial intelligence (AI)...

Physicians' Attitudes Toward Artificial Intelligence in Medicine: Mixed Methods Survey and Interview Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) has the potential to transform clinical practice and diagnostics. Amid workforce shortages, AI-based applications assist in decision-making, patient monitoring, and administrative tasks. However, despite enthu...

An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation Study.

JMIR medical informatics
BACKGROUND: Diagnosis of venous thromboembolism (VTE) is often delayed, and facilitating earlier diagnosis may improve associated morbidity and mortality. Clinical notes contain information not found elsewhere in the medical record that could facilit...

Comparing Multiple Imputation Methods to Address Missing Patient Demographics in Immunization Information Systems: Retrospective Cohort Study.

JMIR public health and surveillance
BACKGROUND: Immunization Information Systems (IIS) and surveillance data are essential for public health interventions and programming; however, missing data are often a challenge, potentially introducing bias and impacting the accuracy of vaccine co...

Addressing Youth Mental Health Through Schools and Primary Care Clinics Using the Connected for Wellness Mobile App: Protocol for a Stepped-Wedge Trial.

JMIR research protocols
BACKGROUND: Youth in the United States are experiencing rising rates of anxiety, depression, and other mental health challenges, yet many remain underserved due to systemic barriers such as poverty, limited access to care, and shortages in the mental...