Latest AI and machine learning research in ethics for healthcare professionals.
Although the integration of artificial intelligence (AI) into medicine and healthcare holds transfor...
OBJECTIVES: Spingosine-1-phosphate (S1P) and ceramides are bioactive sphingolipids that influence ca...
BACKGROUND: Disorders of consciousness (DoC) in non-traumatic ICU-patients are often treated with am...
RATIONALE AND OBJECTIVES: This study aimed to develop and validate machine learning (ML) models util...
Plum fruit fresh weight (FW) estimation is crucial for various agricultural practices, including yie...
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium...
Multi-view clustering has garnered significant attention due to its capacity to utilize information ...
Reduced representation sequencing (RRS) has proven to be a cost-effective solution for sequencing su...
PURPOSE: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various c...
The latest global progress report highlights numerous challenges in achieving justice goals, with bi...
The efficacy of many compounds against is often limited when administered via conventional oral or ...
OBJECTIVE: Congenital heart disease with pulmonary arterial hypertension (CHD-PAH), caused by CHD, i...
Although recent advances in machine learning have shown its success to learn from independent and id...
Molecular subtypes, such as defined by The Cancer Genome Atlas (TCGA), delineate a cancer's underlyi...
Accurate and continuous blood glucose monitoring is essential for effective diabetes management, yet...
Part 2 explores the transformative potential of artificial intelligence (AI) in addressing the compl...
Peptide sequencing via tandem mass spectrometry (MS/MS) is essential in proteomics. Unlike tradition...
The use of machine learning (ML) for cancer staging through medical image analysis has gained substa...
Histological image registration is a fundamental task in histological image analysis. It is challeng...
Moyamoya disease (MMD) is a progressive cerebrovascular disorder that increases the risk of intracra...
BACKGROUND: Artificial intelligence (AI) models are emerging as promising tools to identify predicti...