Deep Learning (DL) and Machine Learning (ML) algorithms are adept at managing and classifying a wide range of data formats, including time series, text, and images, addressing challenges in both supervised and unsupervised learning. However, the prac...
BACKGROUND: The growing population of patients with adult congenital heart disease (ACHD) present complex lifelong care needs that traditional health systems are struggling to meet. Without innovation, gaps in access, timeliness and specialist oversi...
BACKGROUND: Gallbladder polyps have a high prevalence and are predominantly benign lesions, often detected via ultrasound. They impose diagnostic burdens on radiologists while generating substantial patient demand for report interpretation. Benign po...
BACKGROUND: Wearable accelerometers, which continuously record physical activity metrics, are commonly used in mobile health-enabled cardiac rehabilitation (mHealth-CR). The association between adherence to accelerometer use during mHealth-CR and imp...
BACKGROUND: Virtual simulated patients (VSPs) powered by generative artificial intelligence (GAI) offer a promising tool for training clinical interviewing skills; yet, little is known about how different system- and user-level variables shape studen...
BACKGROUND: With the increasing use of machine learning (ML)-based risk prediction models for venous thromboembolism (VTE) in patients, the quality and applicability of these models in practice and future research remain unknown. The prediction mecha...
AIM: This study aims to comparatively evaluate the performance of four different artificial intelligence-based chatbots (ChatGPT-4o (Free), ChatGPT-5 (Plus), DeepSeek, and Google Gemini) in the diagnosis and treatment processes of dental trauma cases...
Medical misinformation is a major public health concern. The public increasingly uses artificial intelligence (AI) tools for medical consultations. Therefore, concerns arise about their ability to detect and even correct subtle medical information th...
Trained Immunity is the nonspecific (pathogen agnostic) memory of innate immune cells, characterized by altered responses upon secondary stimulation. This review provides a RoadMap for the discovery and development of therapeutics targeting Trained I...
Hematoma expansion is a consistent predictor of poor neurological outcome and mortality after spontaneous intracerebral hemorrhage (ICH). An incomplete understanding of its biophysiology has limited early preventative intervention. Transport-based mo...
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