Latest AI and machine learning research in clinical trials for healthcare professionals.
Surgical patient safety remains a major challenge in resource-limited settings, where preventable harm may be increased by delayed assessment, limited monitoring, workforce shortages, weak documentation, and inconsistent use of standardized perioperative protocols. Enhanced Recovery After Surgery offers an evidence-based pathway for improving perioperative care, while artificial intelligence may s...
BACKGROUND: Large language models (LLMs) can generate structured educational content at scale, yet their role in postgraduate radiology training remains untested. METHODS: This pilot study evaluated the feasibility of deploying LLM-generated radiology board preparation materials, the psychometric properties of adapted survey instruments, and exploratory effect-size estimates for sample-size planni...
β-Triketone herbicides (bTHs) are widely applied in crops such as maize, rice, and sorghum. However, their efficacy on some gramineous weeds is limite...
BACKGROUND: The integration of large language models (LLMs) into medicine has reshaped health care delivery, education, and research. Although proprie...
OBJECTIVES: To summarize and evaluate the core components, functional modules, and developmental challenges of intelligent oral examination robots, an...
Mechanical ventilation management in intensive care units requires continuous optimization of ventilator parameters while adhering to clinical safety ...
Congenital muscular torticollis (CMT) is a common musculoskeletal problem associated with unilateral sternocleidomastoid muscle stiffness. We evaluate...
Falls remain a leading cause of injury-related morbidity and mortality among adults aged 65 and older, and these human and economic costs keep rising ...
Artificial intelligence (AI) offers a potential solution to the scalability limits of internet-based psychological interventions. This randomized cont...
BACKGROUND: The increased use of artificial intelligence (AI) in healthcare, including pediatrics, offers significant opportunities for improving qual...
BACKGROUND: Chronic non-specific neck pain (CNP) involves central sensitization and maladaptive cortical reorganization. The central neurophysiologica...
BACKGROUND: Accurate prehospital trauma triage and communication determine morbidity, mortality, and system efficiency. Advancements in large language...
BACKGROUNDS: Haematoma expansion (HE) is a significant factor in poor outcomes following intracerebral haemorrhage (ICH). Studies have suggested that ...
Drug safety assessment, particularly in the post-marketing setting, is especially vulnerable to analytic misjudgment because it relies on heterogeneou...
INTRODUCTION: Biosimilar development is undergoing regulatory change, with growing emphasis on analytical comparability and targeted clinical pharmaco...
AIMS: To evaluate comparative outcomes of artificial Intelligence (AI)-based and traditional-based teaching in medical education. METHODS: The literat...
BACKGROUND: Embodied intelligence-artificial intelligence instantiated in physical or virtual bodies that can perceive, communicate, and interact with...
BACKGROUND: University students experience elevated psychological distress, with limited access to mental health services. While cognitive behavioral ...
BACKGROUND AND OBJECTIVE: Covariate adjustment can improve precision and power in randomized clinical trials and is recommended by major regulatory ag...
Most patients with major depressive disorder (MDD) do not respond to first-line treatment, and robust predictors of individual outcomes are lacking. F...