Latest AI and machine learning research in critical care for healthcare professionals.
We investigate whether temporal embedding models trained on longitudinal electronic health records c...
Accurate clinical prognosis requires synthesizing structured Electronic Health Records (EHRs) with r...
Accurate assessment of patient-ventilator interaction is critical for optimizing respiratory support...
Background Stress cardiomyopathy (SCM) shares features with acute myocardial infarction (AMI) which ...
Background: We previously published a literature based pipeline for sepsis gene prioritization (PS3 ...
Automated respiratory sound classification supports the diagnosis of pulmonary diseases. However, ma...
Effective management of Bovine Respiratory Disease Complex (BRDC) requires timely, non-invasive diag...
Sepsis remains one of the leading causes of mortality in intensive care units, where timely and accu...
Background The assessment of physical examination skills in medical education is resource-intensive ...
IntroductionAcute myocardial infarction (AMI) remains a leading cause of mortality, with the coexist...
Multimodal clinical prediction is widely used to integrate heterogeneous data such as Electronic Hea...
Wearable devices enable continuous, population-scale monitoring of physiological signals, such as ph...
BackgroundSystemic infections are a leading cause of hospitalization and death among patients with c...
Primary ciliary dyskinesia (PCD) belongs to the group of rare genetic disorders that is extremely ha...
Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...
The labor-intensive nature of medical data annotation presents a significant challenge for respira...
Reliable Uncertainty Quantification (UQ) and failure prediction remain open challenges for Vision-...
Reliable Uncertainty Quantification (UQ) and failure prediction remain open challenges for Vision-...
This study introduces a hybrid approach integrating advanced plasmonic nanomaterials and machine l...
The growing demand for efficient knowledge graph (KG) enrichment leveraging external corpora has i...
Artificial Intelligence has revolutionised critical care for common conditions. Yet, rare conditio...