Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Increasing cultural diversity requires nurses to ensure cultural safety in patient care. Artificial intelligence (AI)-based simulations offer promising experiential learning, yet evidence of their effectiveness remains limited. This study analyzed communication strategies used by nursing students during AI-based simulations and evaluated their contribution to cultural safety. METHOD: A...
Microbes play a vital role in healthcare, clinical microbiology, biotechnology, and environmental health, making their accurate detection and classification essential in these fields. The accurate detection of bacteria enables investigators to distinguish various organisms and group them according to requirements of the relevant individuals. The recent advancements in deep learning-enabled models ...
BACKGROUND: While research on robotic rehabilitation has largely focused on evaluating device effectiveness, there remains a clear need to investigate...
Artificial intelligence (AI) systems are rapidly transforming the workplace, performing tasks once limited to human intelligence such as decision-maki...
BACKGROUND: The management of type 2 diabetes requires sustained self-management across diet, physical activity, medication adherence, and blood gluco...
Real-world evidence (RWE) has emerged as an essential complement to randomized controlled trial data, providing insights into the effectiveness, safet...
BACKGROUND: Effective communication about clinical trials is essential, as low enrollment undermines scientific validity and contributes to health car...
BACKGROUND AND AIMS: Atherosclerosis results from cellular and extracellular changes in the arterial wall, preceded by molecular shifts that initiate ...
The twin green-digital transition (TGD) is a key pathway for firms to enhance resource efficiency, reduce pollution, and strengthen green competitiven...
Laser-induced breakdown spectroscopy (LIBS) is a versatile technique for characterizing materials and analyzing elements, but it is limited in its qua...
Rapid evaluation of existing building stocks is essential for reducing earthquake-related disaster risk, particularly in seismically vulnerable cities...
Ketamine has demonstrated rapid antidepressant efficacy in treatment-resistant depression (TRD), but clinical decision-making is challenging due to va...
BACKGROUND: Paediatric content in undergraduate nursing education is typically delivered through lectures, simulation, and clinical placements. Constr...
BACKGROUND: Definitive chemoradiotherapy for head and neck squamous cell carcinomas (HNSCC) carries significant long-term toxicities, with elective ne...
Clinical translation of novel therapies can be hindered by heterogeneity-driven sample size inflation in late-stage trials. In acetaminophen-induced l...
BACKGROUND: Artificial intelligence (AI)-themed delusions are increasingly observed in psychotic-spectrum disorders, reflecting the incorporation of c...
PURPOSE: To develop and evaluate a glass-box, agentic-style radiology pipeline that separates perception from reasoning for auditable multiclass diagn...
PURPOSE OF REVIEW: This review aims to synthesize and critically appraise the most impactful advances in radiotherapy (RT) for soft tissue sarcomas (S...
OBJECTIVE: Acute otitis media is the most common bacterial infection among children and a significant global health burden. Despite its high incidence...
PURPOSE: Oral leukoplakia (OL), the most common oral potentially malignant disorder (OPMD), poses a significant risk for transformation to oral squamo...