Latest AI and machine learning research in covid-19 for healthcare professionals.
BACKGROUND: Opioids are a widely prescribed class of medication for pain management. However, they h...
To evaluate the strengths and limitations of retrieval-augmented generative (RAG) artificial intelli...
Chromosomal abnormality detection is a fundamental task in clinical genetics, as accurate identifica...
Giant congenital melanocytic nevi (GCMN) are rare pigmented skin lesions present at birth that carry...
Histopathological hematoxylin and eosin (H&E) slides contain valuable prognostic information for pan...
PURPOSE: Preoperative assessment of pathologic complete response (pCR) to neoadjuvant therapy is an ...
BACKGROUND: Data on neoadjuvant treatment with trastuzumab biosimilars, particularly CT-P6, in combi...
Imbalanced small datasets are common scenarios in the field of machine learning for medical imaging,...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that remains a global challenge...
BACKGROUND: Sepsis is common and deadly, and subtypes are proposed to guide precision treatment. How...
ETHNOPHARMACOLOGICAL RELEVANCE: Despite the fact that herbal medicine has been used for a long time,...
INTRODUCTION: Lumbar CT and MRI scans are helpful for osteoporosis (OP) screening. Deep learning enh...
PURPOSE: Biocompatible collagen membranes (CM) are widely used in regenerative dentistry, particular...
BACKGROUND: Acute myocardial infarction (AMI) is a major global health burden, with current diagnost...
Staphylococcus aureus is a leading cause of nosocomial infections, including sepsis, bacteraemia, pn...
Accurately predicting the phenotypic consequences of genetic variation is a major challenge for prec...
Conventional multiplex qPCR faces challenges in quantitative multipathogen detection due to limited ...
Convolutional neural networks (CNNs) are widely recognized for their high precision in image classif...
BACKGROUND AND AIMS: Malaria is a deadly disease spread through the bite of an infected female Anoph...
Synonymous single nucleotide variants (sSNVs), traditionally seen as neutral, are now recognized for...
Noncoding RNAs have increasingly recognized roles in critical molecular mechanisms of disease. Howev...