Latest AI and machine learning research in critical care for healthcare professionals.
PURPOSE: To evaluate whether deep learning-based respiratory-triggered (DL) 3D magnetic resonance cholangiopancreatography (MRCP) improves acquisition efficiency while providing similar qualitative image assessment results to conventional respiratory-triggered (CON) and breath-hold compressed sensing (BH-CS) MRCP. METHODS: This retrospective study included 116 patients who underwent DL, CON, and B...
BACKGROUND: Neonatal respiratory outcomes remain leading drivers of neonatal intensive care unit (NICU) morbidity, mortality, and prolonged hospitalization, underscoring the need for accurate early risk prediction through artificial intelligence (AI) and machine learning (ML) approaches. PURPOSE: To conduct a Preferred Reporting Items for Systematic Reviews and Meta-Analyses-guided systematic revi...
BACKGROUND: Artificial intelligence (AI) has the potential to transform chest radiography interpretation by enhancing diagnostic accuracy, identifying...
Fatigue induces adverse short- and long-term health risks in wheelchair users. This study aimed to develop a machine learning approach to predict fati...
BACKGROUND: Postoperative delirium (POD) is a heterogeneous syndrome associated with adverse outcomes. Traditional classifications may obscure underly...
The dynamic assessment of mental health has emerged as a hotspot for study and application due to the rise in social pressure. However, onventional me...
Timely detection of circulatory and respiratory instability (CRI) is critical in intensive care units (ICUs), yet existing early warning systems often...
BACKGROUND: Elderly patients undergoing kidney replacement therapy (KRT) face high mortality rates. Traditional statistical models describe overall su...
This document serves as the protocol for the development of the Chinese Guideline for the Diagnosis and Treatment of Hospital-Acquired Pneumonia and V...
Positive airway pressure therapy serves as a core therapeutic strategy for sleep-disordered breathing, with its efficacy generally evaluated via sleep...
Endometrial carcinoma ranks among the most common malignancies of the female reproductive system. Accurate early-stage staging is essential for devisi...
Parkinson's disease (PD) is a disorder involving progressive degeneration of the nervous system. Its clinical signs typically become noticeable only a...
BACKGROUND: Patients with gallstone-related biliary disease may deteriorate rapidly before definitive source control. This study aimed to develop an i...
BACKGROUND: Cardiometabolic heart failure with preserved ejection fraction (HFpEF) is a high-risk phenotype primarily driven by metabolic syndrome, wi...
BACKGROUND: Patients undergoing dialysis are at an elevated risk of cardiovascular events. This study aimed to develop machine learning (ML) predictio...
BACKGROUND: Peritoneal dialysis (PD) naturally lends itself to artificial intelligence (AI) integration due to its generation of dense, longitudinal a...
Low-dose CT (LDCT) lung cancer screening significantly reduces mortality but has dramatically increased the detection of pulmonary nodules. Most of th...
Hallux Valgus (HV) is a common deformity in runners that reflects altered foot morphology and thereby redistributes mechanical loads along the lower l...
BACKGROUND: Pulmonary tuberculosis (TB) is a chronic infectious disease that burdens patients and public health systems. Limited reach of traditional ...
Continuous respiratory monitoring enables early detection of physiological deterioration, yet conventional capnography remains impractical for prolong...