Latest AI and machine learning research in critical care for healthcare professionals.
Chestnut classification is essential for improving postharvest processing efficiency and supporting large-scale commercialization; however, conventional manual sorting is labor intensive, inconsistent, and unsuitable for high-throughput operations. To address these challenges, this study proposes a k-means clustering–vision transformer (ViT)–based approach for classifying chestnuts into five culti...
Formaldehyde (HCHO) is deleterious both as an indoor volatile organic compound, contributing to respiratory and carcinogenic risks, and as an adulterant in food products such as fish, where ingestion poses severe systemic toxicity. Sub-ppm monitoring is essential, given that exposure limits are ≤0.1 ppm and adverse health effects emerge at 50-100 ppb. Chemiresistive sensors address this demand thr...
OBJECTIVES: To develop a fine-tuned version of the generative pretrained transformer (GPT)-4o artificial intelligence (AI) model able to estimate Func...
Chronic obstructive pulmonary disease (COPD) is a respiratory disease imposing significant economic and health burdens to patients. The long latent pe...
Stress detection is a widely studied field due to its significant implications for mental and physical health. While multimodal approaches show promis...
BACKGROUND AND AIMS: In patients with sepsis, anticoagulant therapy is expected to have maximal efficacy when administered before the development of s...
STUDY OBJECTIVES: Atrial fibrillation (AF) and obstructive sleep apnea (OSA) are interrelated conditions that substantially increase the risk of cardi...
Major depressive disorder (MDD) is a common mental disorder. Current clinical diagnosis primarily relies on subjective scales, underscoring an urgent ...
Orthopantomogram (OPGs) and Cone-Beam Computed Tomography (CBCT) are vital for dentistry, but creating large datasets for automated tooth segmentation...
PURPOSE: First-pass perfusion cardiovascular MR (FPP-CMR) enables the non-invasive diagnosis of microcirculation and coronary artery disease. In free-...
PURPOSE OF REVIEW: Post-traumatic care is evolving from a reactive, protocol-driven paradigm to a predictive, personalized approach. This review exami...
Kidney transplantation is usually the optimal treatment option for patients living with kidney failure given its associations with improved survival, ...
Cardiovascular (CV) risk calculators estimate the likelihood of CV events by integrating factors such as age, sex, blood pressure, lipids, smoking, an...
The advancement of personalized medicine is increasingly reliant on wearable health monitoring technologies. While hydrogels offer great promise for s...
Diagnosing sleep disordered breathing requires manual annotation of events from sleep studies, such as nocturnal polysomnography, a process that is ti...
BACKGROUND AND OBJECTIVE: Multidrug-resistant (MDR) bacterial infections are a leading cause of sepsis-related death. A rapid method to identify patie...
BACKGROUND: Adverse events (AEs) within the cardiac ICU (CICU) are associated with high mortality and comorbidity. Patients with single ventricle (SV)...
Molecularly imprinted technology （MIT） represents an advanced synthetic strategy that emulates biological recognition mechanisms， such as antigen-anti...
OBJECTIVES: To apply unsupervised machine learning (ML) to predict outbreaks of respiratory tract infections (RTIs) in acute Irish hospitals (2016-202...