Latest AI and machine learning research in other cancers for healthcare professionals.
Computer aided diagnosis using artificial intelligent techniques made tremendous improvement in medi...
PURPOSE: We aimed to use deep learning with convolutional neural network (CNN) to discriminate betwe...
BACKGROUND: Improved outcome prediction is vital for the delivery of risk-adjusted, appropriate and ...
As one of the most common malignancies in the world, lung adenocarcinoma (LUAD) is currently difficu...
Accurate brain magnetic resonance imaging (MRI) tumor segmentation continues to be an active researc...
OBJECTIVES: To develop and validate an algorithm to predict occult nodal metastasis in clinically no...
Understanding of the neuroscientific sleep mechanisms is associated with mental/cognitive and physic...
PURPOSE: To develop a deep learning-based computer-aided diagnosis (CAD) system for use in the CT di...
This study aimed to identify the optimal radiomic machine-learning classifier for differentiating gl...
Automated cell classification is an important yet a challenging computer vision task with significan...
PURPOSE: Portable sleep monitoring devices with less-attached sensors and high-accuracy sleep stagin...
In radiotherapy, computed tomography (CT) datasets are mostly used for radiation treatment planning ...
PURPOSE: Dual-energy X-ray absorptiometry (DEXA) studies are used for screening patients for low bon...
BACKGROUND AND OBJECTIVES: In recent decades, cancer has become one of the most fatal and destructiv...
Herein, a light-driven, membrane-less and mediator-less self-powered cytosensing platform via integr...
BACKGROUND: Early illness course correlates with long-term outcome in psychosis. Accurate prediction...
Molecular testing is increasingly important in cancer diagnosis. Targeted next generation sequencing...
The purpose of this study is to better understand the role of interleukin 35 (IL35) in esophageal ca...
Classification of histologic patterns in lung adenocarcinoma is critical for determining tumor grade...
OBJECTIVE: Radiology is a finite health care resource in high demand at most health centers. However...
The purpose of this study was to evaluate and compare the dosimetric effects of HyperArc-based stere...