Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Emergency medical dispatch is a critical, high-stakes process where dispatcher decisions directly impact patient outcomes. While standardized protocols exist, they are challenged by factors like caller distress, ambiguous symptom descriptions, and high cognitive load. The convergence of Large Language Models (LLMs) and Multi-Agent Systems (MAS) offers a novel opportunity to augment hum...
Background: The impact of artificial intelligence (AI) tools for lung nodule evaluation on low-dose CT (LDCT) have been evaluated primarily using experimental retrospective reader designs, outside of clinical practice. Objective: To compare interpretation times and lung nodule detection rates between real-world interpretations conducted with versus without an AI-based lung nodule evaluation tool f...
BACKGROUND AND OBJECTIVES: Family caregivers face elevated risks for mental and physical health issues but have difficulty accessing informational and...
OBJECTIVES: To assess patient awareness, trust, perceived benefits, and risks of artificial intelligence (AI) in clinical care within an urban safety-...
Artificial intelligence (AI) is reshaping cardiac electrophysiology by extracting information from electrocardiograms that exceeds human visual interp...
The integration of artificial intelligence (AI) into healthcare is accelerating and maternity care is at a pivotal moment for the strategic implementa...
Smart polymers have played great role in enhancing nanomedical application areas in drug delivery, diagnosis and environment sensitive treatment syste...
BackgroundArtificial intelligence (AI)-based chatbots are increasingly used as sources of medical information. Given the high prevalence of neck pain ...
INTRODUCTION: Diagnostic errors remain a critical patient safety concern, yet teaching diagnostic reasoning is challenging due to its complex, context...
Embodied intelligence and related disciplines have identified several mechanisms that help embodied agents learn how to solve complex problems. Reinfo...
BACKGROUND: The exponential growth of medical knowledge presents a paradox for modern medical education. While access to information is immediate, app...
BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essential for optimizing outcomes in pediatric acute lymph...
ETHNOPHARMACOLOGICAL RELEVANCE: Traditional Chinese Medicine (TCM) holds significant therapeutic potential, yet its modernization is hindered by the i...
BACKGROUND: "I'm not a doctor, but..." is a typical response when asking considerate laypeople for health advice. However, seeking medical advice has ...
Drug repurposing, the identification of new therapeutic applications for existing drugs, has emerged as a pragmatic and cost-efficient strategy to acc...
Artificial intelligence (AI) promises major productivity gains, but it also raises fundamental questions about how technology can reshape people's rel...
Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant opportunities for enhancing patient care through a...
BACKGROUND: Continuous positive airway pressure (CPAP) remains the cornerstone of therapy for obstructive sleep apnea, yet its impact on preventing ca...
Traditional meat cooking methods, such as boiling, frying, and grilling, often lead to nutrient loss, reduced flavor, and microbiological safety risks...