Latest AI and machine learning research in lymphoma for healthcare professionals.
INTRODUCTION: Gadolinium-based T1-weighted MRI sequence is the gold standard for the detection of ac...
OBJECTIVES: To evaluate the value of deep-learning-based intratumoral and peritumoral features for d...
INTRODUCTION: Hypoxia-inducible factors (HIF) regulate gene transcription, which aids hypoxia adapta...
The depth of invasion plays a critical role in predicting the prognosis of early esophageal cancer, ...
BACKGROUND: Inflammation of coronary arterial plaque is considered a key factor in the development o...
SARS-CoV-2 has posed serious global health challenges not only because of the high degree of virus t...
AIMS: In routine diagnosis of lymphoma, initial non-specialist triage is carried out when the sample...
BACKGROUND: Vitiligo is a chronic autoimmune disease manifested by depigmented patches of skin devoi...
PURPOSE: To use deep learning technology to design and implement a model that can automatically clas...
This study examines the concepts of passivity and robust passivity in inertial memristive neural net...
The current study focused on the development of crosslinked hydrogel microneedle patches (cHMNs) inc...
BACKGROUND: Novel circulating markers for the non-invasive staging of chronic liver disease (CLD) ar...
PURPOSE: This study developed and validated a novel deep learning radiomic biomarker to estimate res...
AIM: The current study aims to delineate subcutaneous adipose tissue (SAT), visceral adipose tissue ...
Based on the Expectation Confirmation Model (ECM), this study explores the impact of perceived educa...
BACKGROUND: Sepsis is a life-threatening organ dysfunction condition produced by dysregulation of th...
The aim of this study was to explore an innovative approach for developing deep learning (DL) algo...
PURPOSE: Precision oncology in non-small cell lung cancer (NSCLC) relies on biomarker testing for cl...
Development of artificial intelligence (AI) for medical imaging demands curation and cleaning of lar...
PURPOSE: This study aimed to develop and evaluate a machine learning model combining clinical, radio...
Sleep disorders have become a significant health concern in modern society. To investigate and diagn...