Latest AI and machine learning research in lymphoma for healthcare professionals.
PURPOSE: To compare the perioperative outcomes of L-RPLND, R-RPLND and O-RPLND, and determine which ...
OBJECTIVE: Body machine interfaces (BoMIs) enable individuals with paralysis to achieve a greater me...
In this paper, a multi-stage deep learning blood pressure prediction model based on imaging photople...
PURPOSE: This work aimed to study postpartum mental outcomes and determinants of the intake of caffe...
OBJECTIVES: To evaluate the performance of a deep learning-based multi-source model for survival pre...
Deep neural networks (DNNs) optimized for visual tasks learn representations that align layer depth ...
The questionnaire method has always been an important research method in psychology. The increasing ...
AIM: To develop a deep-learning model using contrast-enhanced chest computed tomography (CT) images ...
Data-driven methods have changed the way we understand and model materials. However, while providing...
PURPOSE: This study aimed to assess and externally validate the performance of a deep learning (DL) ...
In medicine, confounding variables in a generalized linear model are often adjusted; however, these ...
BACKGROUND: Renal tumour can invade the venous system and ~4-10% patients with renal tumour had veno...
BACKGROUND: Only around 20-30% of patients with non-small-cell lung cancer (NCSLC) have durable bene...
Oxidative desulfurization (ODS) of diesel fuels has received attention in recent years due to mild w...
Non-invasive grading of brain tumors provides a valuable understanding of tumor growth that helps ch...
The development of liver fibrosis as a consequence of continuous inflammation represents a turning ...
OBJECTIVES: To examine a compressed sensing artificial intelligence (CSAI) framework to accelerate i...
OBJECTIVES: The purpose of this study was to develop and validate a machine learning prediction mode...
Detecting the early signs of stroke using non-contrast computerized tomography (NCCT) is essential f...
INTRODUCTION: The purpose of the present study was to create a machine learning (ML) algorithm with ...
Breast ultrasound is a valuable adjunctive tool to mammography in detecting breast cancer, especiall...