Latest AI and machine learning research in lymphoma for healthcare professionals.
The development of label-free non-destructive techniques to be used as diagnostic tools in cancer re...
PURPOSE: The registration of medical images often suffers from missing correspondences due to inter-...
Neuroblastoma is one of the most common pediatric cancers. This study used machine learning (ML) to ...
The memristor is a promising candidate to implement high-density memory and neuromorphic computing. ...
Although guidelines have recommended standardized drug treatment for heart failure (HF), there are ...
INTRODUCTION: Incorporating artificial intelligence (AI) in diagnostic medical imaging reports has t...
Classifying and analyzing human cells is a lengthy procedure, often involving a trained professional...
INTRODUCTION: Heart disease is emerging as the single most critical cause of death worldwide and is ...
Early detection and mitigation of disease recurrence in non-small cell lung cancer (NSCLC) patients ...
We develop various AI models to predict hospitalization on a large (over 110k) cohort of COVID-19 po...
OBJECTIVE: The purpose of this study was to establish a deep-learning model for segmenting the cervi...
Within the next 1.5 decades, 1 in 7 U.S. adults is anticipated to suffer from age-related macular de...
OBJECTIVES: To demonstrate the effectiveness of automatic segmentation of diffuse large B-cell lymph...
Biofluids such as synovial fluid, blood plasma, and saliva contain several proteins which impart non...
PURPOSE: For the image classification problem, the construction of appropriate training data is impo...
As a special case of multi-classification, ordinal regression (also known as ordinal classification)...
Cross-domain decision-making systems are suffering a huge challenge with the rapidly emerging uneven...
We integrated untargeted serum metabolomics using high-resolution mass spectrometry with data analys...
BACKGROUND: This study compares the short- and long-term outcomes of open vs robotic vs video-assist...
A small dataset commonly affects generalization, robustness, and overall performance of deep neural ...
Type 1 secretion systems play important roles in pathogenicity of Gram-negative bacteria. However, t...