Latest AI and machine learning research in lymphoma for healthcare professionals.
B-line artifacts in lung ultrasound, pivotal for diagnosing pulmonary conditions, warrant automated ...
In the medical field, the most common and frequent type of blood cancer is lymphoma. Accurately pred...
PURPOSE: Sepsis, a life-threatening condition from an uncontrolled immune response to infection, is ...
IMPORTANCE: Recent data point to the impact of non-traditional environmental and social factors on A...
Flow cytometry (FC) remains a cornerstone diagnostic tool for acute myeloid leukemia (AML), yet stan...
Accurate quantitative assessment using gadolinium-contrast magnetic resonance imaging (MRI) is cruci...
Accurate segmentation of lung tumors is essential for advancing personalized medicine in non-small c...
Crashes involving farm equipment vehicles are a significant safety concern on public roads, particul...
BACKGROUND: Diabetes mellitus has been shown to increase the risk of dementia, with diabetic patient...
Semi-supervised learning methods have wide applications thanks to the reasonable utilization for a p...
Anomaly detection is a common application of machine learning. Out-of-distribution (OOD) detection i...
Federated learning is a distributed learning framework that takes full advantage of private data sam...
For the past 30 years or so, machine learning has stimulated a great deal of research in the study o...
AIMS: Coronary computed tomography angiography (CCTA) and magnetic resonance imaging (MRI) can predi...
Non-suicidal self-injury (NSSI) in adolescent girls is a critical predictor of subsequent depression...
Coriander is a widely used spice, valued for its flavor, aroma, and nutritional benefits in various ...
Single-cell RNA-sequencing (scRNA-seq) coupled with robust computational analysis facilitates the ch...
Nonalcoholic fatty liver disease (NAFLD) is now the leading cause of global chronic liver disease, a...
Access to safe and clean drinking water remains a critical global challenge, with groundwater as a p...
Artificial sweeteners, often known as non-sugar sweeteners (NSSs), have been utilized as food additi...
The TIGPR dataset is a high-quality collection of ground-penetrating radar (GPR) images designed for...