Latest AI and machine learning research in critical care for healthcare professionals.
Accurate assessment of patient-ventilator interaction is critical for optimizing respiratory support...
Foundation models trained on patient electronic health records (EHRs) hold promise for transforming ...
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...
Art technological investigations of historical panel paintings rely on acquiring multi-modal image d...
The recent surge in popularity of Nano-Banana and Seedream 4.0 underscores the community's strong in...
Sepsis remains one of the leading causes of mortality in intensive care units, where timely and accu...
Background: Deep learning algorithms for tuberculosis (TB) screening frequently achieve radiologist-...
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-...
While diffusion-based methods have shown impressive capabilities in capturing diverse and complex ...