Latest AI and machine learning research in critical care 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 prediction of financial metrics in spine surgery is crucial as healthcare transitions to va...
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 simulation of respiratory dynamics is essential for advancing the diagnosis and treatment o...
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 ...
Human metapneumovirus (hMPV) is a significant cause of respiratory illness, particularly in children...
BACKGROUND: Artificial intelligence (AI) has emerged as a promising tool for decision support in man...
Accurate land use classification is essential for urban planning, environmental monitoring, and agri...
Intensive care unit (ICU) patients often experience rapid changes in clinical status, requiring time...
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 ...
Grape disease image recognition is an important part of agricultural disease detection. Accurately i...
In the pathological diagnosis of colorectal cancer, the precise segmentation of glandular and cellul...