Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Enhancing nursing students' awareness, attitudes, beliefs, and preparedness toward AI may help improve their health care knowledge and practice. OBJECTIVE: This study aimed to assess nursing students' attitudes, perceptions, self-efficacy, barriers, and anxiety, which influence their readiness to adopt AI in nursing practice. METHODS: This study used a cross-sectional, correlational de...
BACKGROUND: Automated multimedia analysis of remotely recorded tasks offers a scalable approach to screening and remote monitoring of movement disorders such as Parkinson disease (PD). However, unsupervised recordings often suffer from quality issues that compromise model reliability. General multimedia quality checks may not detect task-specific failures, such as poor hand visibility during finge...
BACKGROUND: The growing population of cancer survivors faces immense monitoring burdens due to rigid follow-up guidelines, such as the intensive surve...
BACKGROUND: Multiple Sclerosis (MS) causes many different symptoms, with some of the most dominant being impaired balance and walking performance. Exe...
OBJECTIVES: Computer-aided detection (CADe) using deep learning is promising for reducing missed gastric cancers (MGCs) and supporting physicians in d...
BACKGROUND: Gadolinium-based contrast agents are used in brain MRI to improve the visualization of disorders and improve the delineation of lesions. H...
Planning a safe, comfortable, and energy-efficient ego-vehicle trajectory is fundamental for automated driving. Efficiency reduces emissions, while sa...
Ischemic stroke (IS) is accompanied by blood-brain barrier (BBB) disruption and neuroinflammatory activation, but the upstream regulatory mechanisms r...
We aimed to develop and validate a predictive model combining radiomics, deep learning, and clinical features for the preoperative prediction of the s...
Cardiovascular risk assessment is a natural extension of lung cancer screening (LCS) because individuals eligible for low-dose computed tomography oft...
Synergizing radiotherapy (RT) with immune checkpoint inhibitors has emerged as a promising strategy for solid tumors. RT acts as a potent immunomodula...
OBJECTIVE: Sepsis is a leading cause of mortality in low- and middle-income countries. This study identifies computable pediatric sepsis phenotypes (P...
UNLABELLED: Reports an error in "Contributing factors to beneficence and nonmaleficence in police-led jail diversion programs" by Victor G. Petreca, M...
BACKGROUND: Hyperphosphataemia is a common metabolic complication of CKD and is associated with poor health outcomes. Dietary intervention is a key st...
Generative artificial intelligence (AI) can convert clinical information into patient-facing instructions, including discharge summaries, medication e...
INTRODUCTION: Oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) present a remarkable public health challenge worldw...
PURPOSE: To assess the relation between the fragility index (FI) and reverse fragility index (RFI) with the minimum number of patients needed to rever...
The fragility index continues to be promoted as a measure of trial robustness despite evidence that it is little more than statistical significance in...
AI emotional companion agents are increasingly used for everyday emotional support, yet evidence remains limited regarding how observable service cues...
BACKGROUND: Mental health disorders (MHDs) represent a growing global challenge and pose a significant risk to public health. Alongside developments i...