Latest AI and machine learning research in intensivists for healthcare professionals.
Diabetic Retinopathy (DR) is a complication caused by diabetes that can destroy the retina, leading ...
Molecular property prediction is pivotal for drug discovery, offering significant potential to accel...
Accurate athlete pose estimation in basketball is crucial for game analysis, player training, and ta...
Sepsis is a systemic inflammatory response syndrome caused by infection, which has a high morbidity ...
Iron and myelin are key biomarkers for studying neurodegenerative and demyelinating brain diseases. ...
OBJECTIVES: To identify relevant objective variables for retrospective identification of 'suspected ...
Accurate prediction of toluene/water partition coefficients of neutral species is crucial in drug di...
Rice diseases pose a severe threat to global food security, while traditional detection methods suff...
BACKGROUND: Sepsis is frequently combined with acute liver failure (ALF), a critical determinant in ...
BACKGROUND: The cutting-edge artificial intelligence (AI) and machine learning (ML) techniques have ...
Accurate land use classification is essential for urban planning, environmental monitoring, and agri...
OBJECTIVE: B-mode ultrasound is widely employed for breast lesion diagnosis due to its affordability...
Autoencoders (AEs) have received extensive attention in hyperspectral anomaly detection (HAD) due to...
OBJECTIVE: Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring ...
PURPOSE OF REVIEW: Symptoms of posttraumatic stress disorder (PTSD) affect up to a third of relative...
Conventional approaches to material decomposition in spectral CT face challenges related to precise ...
OBJECTIVE: Detection of seizures and rhythmic or periodic patterns (SRPPs) on electroencephalography...
Single-mode biophysical fingerprints have specific overlap when cell heterogeneity is analyzed. The ...
Patients with cirrhosis face an elevated risk of developing sepsis, leading to an escalating mortali...
Due to the scarcity and high cost of pixel-level annotations for training data, semi-supervised lear...
Generating longitudinal and multi-layered big biological data is crucial for effectively implementin...