Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Intensive Care Unit (ICU) readmissions are associated with adverse clinical outcomes and increased h...
Delirium, a dynamic neuropsychiatric condition associated with morbidity and mortality, remains unde...
In the data-driven era, large-scale datasets are routinely collected and analyzed using machine lear...
Timely identification of hospital inpatients at risk of deterioration facilitates interventions to s...
This study explores integrating machine learning into electronic medical record systems to predict s...
This paper presents a reproducible and process-aware pipeline for predictive monitoring of clinical ...
Objectives This study aimed to develop and validate machine learning models to predict in-hospital m...
With the proliferation of Electronic Health Records (EHRs), a critical challenge in building predict...
Introduction: Polypharmacy in older adults is associated with increased risks of adverse drug events...
Measurement-critical ultrasound tasks often depend on a small anatomical region, making global recon...
Importance: Physicians routinely prognosticate to guide care delivery and shared decision making, pa...
Background Outcome after stroke varies according to stroke subtype by location, but healthcare syste...
Clinical risk prediction using longitudinal medical data supports individualized care. Self-supervis...
Objective: To propose and retrospectively validate an integrated framework addressing three barriers...
Temporal resolution of physiological monitoring in intensive care varies widely across healthcare sy...
Modern medicine generates vast multimodal data across siloed systems, yet no existing model integrat...
Inadequate discharge communication is a well-documented contributor to medication non-adherence, mis...
Background: The urgent care departments in Europe face a structural paradox: accelerating digitalisa...
Study ObjectivesTo evaluate wearable sleep staging across sleep apnea severity, including very sever...
Large-scale radiology data are critical for developing robust medical AI systems. However, sharing s...
Patient healthcare utilization consists of irregularly time-stamped events, such as outpatient visit...