Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
GUI agents accumulate high-resolution screenshots as the trajectory unfolds, increasing inference la...
With the growing use of artificial intelligence (AI) tools in clinical care, it is essential to asse...
The digitization of healthcare has generated vast, longitudinal, and multimodal patient records over...
Across application domains, predictive signals often sit in unstructured free text rather than struc...
Objective. To determine which model family a hospital should use to extract structured data (section...
Importance. Current clinical artificial intelligence is bottlenecked by highly specialized, fragment...
Artificial intelligence models are promising for medical diagnosis, but they require large numbers o...
Longitudinal prediction from electronic health records (EHRs) is limited by the sparsity and irregul...
Automatic coding from clinical notes has been studied extensively for International Classification o...
Routine childhood growth surveillance is a cornerstone of pediatric care. Growth pattern abnormaliti...
Unobtrusive ballistocardiographic (BCG) sensing is a promising modality for long-term sleep-apnea mo...
Multimodal product models can complete missing e-commerce attributes, yet current methods still opti...
Large Language Models (LLMs) are increasingly applied to clinical prediction tasks such as in-hospit...
Clinical records contain rich evidence about patient state, but converting that evidence into reliab...
Ensuring that Extended Reality (XR) environments are age-appropriate is an important regulatory and ...
Background: Machine learning models leveraging electronic health records (EHRs) can support earlier ...
Objective: Computational magnetoencephalography (MEG) interictal epileptiform discharge (IED) detect...
Aperiodic (1/f-like) EEG activity has rapidly become a popular noninvasive marker of cortical networ...
Abstract Background: Cardiovascular-kidney-metabolic (CKM) syndrome is an increasingly prevalent mul...
Venous thromboembolism (VTE) is a leading cause of preventable inpatient mortality, while the real-w...
Heart failure (HF) affects over 64 million people worldwide and remains a leading cause of cardiovas...