Latest AI and machine learning research in critical care for healthcare professionals.
Despite strong predictive results in the clinical machine learning literature, the translation of th...
Autonomous agentic systems are largely static after deployment: they do not learn from user interact...
Background Patients worldwide receive healthcare in many languages, yet medical AI systems are valid...
Delayed diagnosis and poor antiretroviral therapy (ART) adherence remain primary drivers of HIV-rela...
Ensemble disagreement is widely used as a proxy for epistemic uncertainty in medical image segmentat...
While tree pollen is a major trigger of allergic respiratory conditions and different taxa exhibit v...
Background: Apnoea of prematurity is common and may cause desaturation and/or bradycardia. There is ...
Background: Meningiomas are the most common primary intracranial tumors in adults, and volumetric as...
Sepsis management in the ICU requires sequential treatment decisions under rapidly evolving patient ...
Intensive Care Unit (ICU) readmissions are associated with adverse clinical outcomes and increased h...
Contactless assessment of cardiopulmonary function remains an unmet need, with current approaches re...
In the data-driven era, large-scale datasets are routinely collected and analyzed using machine lear...
Bronchoscopy is routinely conducted in pulmonary clinics and intensive care units, but navigating th...
Translating transcriptomic data into therapeutic hypotheses remains fragmented and labor-intensive. ...
We present Clin-JEPA, a multi-phase co-training framework for joint-embedding predictive (JEPA) pret...
Evaluating image captions without references remains challenging because global embedding similarity...
Background: Machine learning models for intensive care unit (ICU) mortality prediction achieve stron...
We present a digital twin framework for real time glucose monitoring and forecasting in septic patie...
Bronchoscopic navigation relies on registering endoscopic video to a preoperative CT scan, but respi...
Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...
Vision-language models (VLMs) are increasingly used as automated judges for multimodal systems, yet ...