Latest AI and machine learning research in intensivists for healthcare professionals.
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 ...
INTRODUCTION: Heart Failure (HF) complicated by thyroid dysfunction presents a complex clinical chal...
BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary dise...
Personal protective equipment (PPE) is critical for ensuring the safety of construction workers. How...
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...
With the rapid advancement of remote sensing technology, high-resolution multi-modal imagery is no...
Off-policy policy evaluation (OPE) estimates the outcome of a new policy using historical data col...
Sora-like video generation models have achieved remarkable progress with a Multi-Modal Diffusion T...
Despite advances in neural rendering, due to the scarcity of high-quality 3D datasets and the inhe...
Although advances in brain surgery techniques have led to fewer postoperative complications requir...
Vision-language models (VLMs) have shown impressive abilities across a range of multi-modal tasks....
Visual Text-to-Speech (VTTS) aims to take the environmental image as the prompt to synthesize the ...
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by utilizing complem...