Latest AI and machine learning research in critical care for healthcare professionals.
Sepsis-associated encephalopathy (SAE) is a common and serious complication of sepsis that leads to ...
BACKGROUND: Predictive modeling has the potential to improve preoperative planning and resource allo...
Whole Slide Imaging (WSI) plays a crucial role in predicting immune scores by providing detailed cel...
It is well known that porcine reproductive and respiratory syndrome (PRRS) decreases herd productivi...
OBJECTIVE: To develop and validate a machine learning model for postoperative sepsis in critically i...
BACKGROUND AND OBJECTIVE: Patient-ventilator asynchrony (PVA) is prevalent in mechanically ventilate...
Electronic nose is an emergent technique for noninvasive disease detection via breath analysis, whic...
Up to 70% of patients with autoimmune rheumatic diseases (ARDs), including rheumatoid arthritis, pso...
BACKGROUND: Artificial intelligence (AI) technologies hold great promise for improving patient outco...
This article reviews how artificial intelligence and machine learning are reshaping health care. Aft...
Wildfires-sourced (WS) fine particulate matter (PM2.5) is known to adversely impact human health, wh...
BACKGROUND AND OBJECTIVE: Respiratory rate is a fundamental physiological parameter and one of the e...
OBJECTIVE: To develop and internally validate a machine-learning model for the early prediction of p...
INTRODUCTION: Pressure injuries (PIs) are one of the most common hospital-acquired complications in ...
BACKGROUND: ICU patients often suffer from critical and complex condition, and multiple potential ri...
PURPOSE: To implement and evaluate the feasibility of a Pilot Tone (PT)-based prospective gating and...
OBJECTIVE: This study aimed to investigate alterations in the respiratory tract lining fluid phospho...
PURPOSE OF REVIEW: Critical care nutrition remains a high-stakes and error-prone domain, particularl...
BACKGROUND: Patients with ischemic stroke complicated by consciousness disorders remain associated w...
Deep learning models have achieved state-of-the-art performance in automated Cardiac Magnetic Resona...
Myasthenia gravis (MG), a fluctuating autoimmune neuromuscular disease, presents unique challenges f...