Latest AI and machine learning research in lung cancer for healthcare professionals.
As a lung cancer biomarker, exosomes were utilized for in vitro diagnosis to overcome the lack of se...
PURPOSE: To develop a combined radiomics and deep learning (DL) model in predicting radiation esopha...
INTRODUCTION: Artificial Intelligence (AI) is revolutionizing medical imaging and radiation therapy....
Develop a radiomics nomogram that integrates deep learning, radiomics, and clinical variables to pre...
Lung adenocarcinoma (LUAD) is a significant planetary health challenge with its high morbidity and m...
A three-dimensional convolutional neural network model was developed to classify the severity of chr...
Deep-learning tools that extract prognostic factors derived from multi-omics data have recently cont...
BACKGROUND: The tumor microenvironment (TME) plays a key role in lung cancer initiation, proliferati...
Abnormalities in adrenal gland size may be associated with various diseases. Monitoring the volume o...
The tumor microenvironment (TME) plays a fundamental role in tumorigenesis, tumor progression, and a...
BACKGROUND AND OBJECTIVE: In the field of lung cancer research, particularly in the analysis of over...
BACKGROUND: The 8th AJCC TNM staging for non-metastatic lymph node-positive colon adenocarcinoma pat...
Radiation therapy has dramatically changed with the advent of computed tomography and intensity modu...
PURPOSE: This study aims to develop an ensemble machine learning-based (EML-based) risk prediction m...
In recent years, there has been a surge in the development of methods for cell segmentation and trac...
BACKGROUND: Machine Learning (ML) plays a crucial role in biomedical research. Nevertheless, it stil...
INTRODUCTION: The correlation between radiation exposure before pregnancy and abnormal birth weight ...
BACKGROUND AND OBJECTIVE: To evaluate the feasibility and accuracy of radiomics, dosiomics, and deep...
BACKGROUND: To establish and validate a machine learning model using pretreatment multiparametric ma...
This study aimed to evaluate the impact of radiation dose and focal spot size on the image quality o...
Organ segmentation has become a preliminary task for computer-aided intervention, diagnosis, radiati...