Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
This paper explores the bidirectional interplay between Artificial Intelligence (AI) and Communication Sciences and Disorders (CSD). It begins by defining essential terminology and foundational concepts, followed by a discussion of key ethical considerations in the development and deployment of AI technologies. Current AI research in CSD is then reviewed, with particular attention to multimodal ap...
BACKGROUND: Large language models (LLMs) are increasingly used by patients for medical information and reassurance. In psychodermatology, where communication must address psychological distress, stigma, and functional impact, the safety and quality of AI-generated educational content have not been systematically assessed. OBJECTIVE: To evaluate the quality and safety of patient-facing educational ...
BACKGROUND: Heart failure (HF) decompensation is the leading cause of hospitalisations in developed countries and the third most common cause in Brazi...
Human brain architecture is guiding brain-inspired artificial intelligence (AI) and has been treated as an optimal template, whose deviations could ma...
Car headlights and taillights, to provide cost-effective and high-data-rate interference-resilient communication, have spawned Vehicular Visible Light...
BACKGROUND: Artificial intelligence (AI), augmented reality (AR), and robotics are rapidly transforming aesthetic practice. Despite their growing inte...
IMPORTANCE: Soccer is associated with a substantial global injury burden, particularly involving lower-extremity and head injuries. Despite extensive ...
BACKGROUND: Early prediction of depressive and anxiety disorders is challenging due to substantial heterogeneity in risk pathways. Conventional machin...
Pancreatic cystic lesions are increasingly detected due to the widespread use of high-resolution cross-sectional imaging, particularly MRI and CT. The...
This article addresses the mean-square exponential synchronization problem of reaction-diffusion neural networks (RDNNs) subject to stochastic switchi...
Data-driven channel models often require extensive simulation data and capture only limited statistics of the underlying physical process. To address ...
BACKGROUND: Youth experiencing homelessness face heightened vulnerability to HIV infection and substance use due to complex structural, psychosocial, ...
This research study investigates several techniques, such as simulation and an RLC equivalent circuit model, to evaluate antenna performance. The key ...
BACKGROUND: Global flagship initiatives increasingly advocate for proactive health maintenance to alleviate the growing burden on reactive, disease-fo...
BACKGROUND: Bullying victimization among Chinese adolescents manifests in distinct types (verbal, physical, relational, cyberbullying) with unique adv...
The modernization of Traditional Chinese Medicine (TCM) faces considerable challenges, primarily due to the poor water solubility, low chemical stabil...
BACKGROUND: Artificial intelligence and digital health technologies may strengthen Infection Prevention and Control through enhanced surveillance, dec...
BACKGROUND: Increasing cultural diversity requires nurses to ensure cultural safety in patient care. Artificial intelligence (AI)-based simulations of...
Postoperative recurrence (POR) is a major challenge in the long-term management of Crohn's disease (CD), affecting up to 70% of patients within the fi...
Real-world evidence (RWE) has emerged as an essential complement to randomized controlled trial data, providing insights into the effectiveness, safet...