Latest AI and machine learning research in intensivists for healthcare professionals.
Multi-modality medical vision (MV) foundation models (FM) are fundamentally challenged by pronounced...
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...
Background: Meningiomas are the most common primary intracranial tumors in adults, and volumetric as...
The mechanical behavior of right ventricular (RV) myocardium is governed by its anisotropic microstr...
Sepsis management in the ICU requires sequential treatment decisions under rapidly evolving patient ...
Text- and image-conditioned video generation models have achieved strong visual fidelity and tempora...
Intensive Care Unit (ICU) readmissions are associated with adverse clinical outcomes and increased h...
Single-model ensembles (SMEs) have attracted attention as a way to approximate some of the benefits ...
Monocular depth foundation models generalize well across scenes, yet they are typically optimized wi...
We present Clin-JEPA, a multi-phase co-training framework for joint-embedding predictive (JEPA) pret...
Background: Machine learning models for intensive care unit (ICU) mortality prediction achieve stron...
Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...
We present a suite of foundational, outcome prediction models for critically ill patients, developed...
Identifying robust gene expression signatures from transcriptomic studies with small sample sizes re...
Sepsis is a leading cause of in-hospital mortality, yet systematically evaluating temporal adherence...
Temporal resolution of physiological monitoring in intensive care varies widely across healthcare sy...
We introduce GeneBench, a benchmark for AI agents on realistic multi-stage scientific data analysis ...