Latest AI and machine learning research in critical care for healthcare professionals.
Evaluating image captions without references remains challenging because global embedding similarity...
Abstract Objective: Structured extraction from clinical free-text depends on human annotators whose ...
Background: Machine learning models for intensive care unit (ICU) mortality prediction achieve stron...
While Large Vision-Language Models (LVLMs) offer powerful capabilities, they pose privacy risks by u...
We propose Conformal Seasonal Pools (CSP), a training-free probabilistic time-series forecaster that...
This paper presents a reproducible and process-aware pipeline for predictive monitoring of clinical ...
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 ...
Objective: To test whether machine learning (ML) models trained on tidal breathing flow time series ...
Vision-language models (VLMs) are increasingly used as automated judges for multimodal systems, yet ...
We present a suite of foundational, outcome prediction models for critically ill patients, developed...
Background & Aims: Accurate assessment of clinical malnutrition using anthropometric and functional ...
Identifying robust gene expression signatures from transcriptomic studies with small sample sizes re...
Training reliable respiratory sound classification models remains challenging due to the limited siz...
Progression to dialysis or end-stage renal disease is a rare but clinically important outcome. Clini...
Background: Mechanical ventricular unloading and systemic circulatory support with left ventricular ...
Sepsis is a leading cause of in-hospital mortality, yet systematically evaluating temporal adherence...
Respiratory airflow signals provide critical insight into breathing mechanics, yet conventional anal...
Large language model (LLM) agents have automated tool use in chemistry, but orchestrating multi step...