Latest AI and machine learning research in intensivists for healthcare professionals.
Carbapenem-resistant Gram-negative bacteria (CR-GNB) represent a major health challenge due to limit...
Recent advances in deep learning have enabled the integration of heterogeneous data modalities for c...
Surgery is inherently associated with complications, making early detection the cornerstone of timel...
To evaluate the ability of a natural language processing system to automatically reconstruct the SOF...
Accurate disease progression prediction is vital for managing critically ill patients in intensive c...
To develop and validate machine learning models for predicting Blood Pressure (BP) control status us...
Acute appendicitis is a common but diagnostically challenging surgical emergency in children. Existi...
Disease management for heart failure with preserved ejection fraction (HFpEF) requires understanding...
The increasing availability of electronic health records (EHRs) provides opportunities to apply mach...
Early prediction of in-hospital death remains a significant challenge due to the limited availabilit...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a major contributor to global morbidity ...
BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary dise...
Objective: The Phoenix sepsis criteria define sepsis in children with suspected or confirmed infecti...
Host-response-based diagnostics can improve the accuracy of diagnosing bacterial and viral infecti...
Although advances in brain surgery techniques have led to fewer postoperative complications requir...
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by combining complem...
Resting-state fMRI captures spontaneous neural activity characterized by complex spatiotemporal dy...
Owing to the robust priors of diffusion models, recent approaches have shown promise in addressing...
Condition monitoring of induction machines is crucial to prevent costly interruptions and equipmen...
Large Language Models (LLM) are usually fine-tuned to participate in dyadic or two-party dialogues...
On-demand vibration mitigation in a mechanical system needs the suitable design of multiscale meta...