Latest AI and machine learning research in lung cancer for healthcare professionals.
PURPOSE: In the rapidly expanding field of artificial intelligence (AI) there is a wealth of literat...
Accurate survival prediction for Non-Small Cell Lung Cancer (NSCLC) patients remains a significant c...
Artificial intelligence can standardize and automatize highly demanding procedures, such as manual s...
This study explores the impact of densely-ionizing radiation on non-cancer and cancer diseases, focu...
The aim of this study is to establish a deep learning (DL) model to predict the pathological type of...
OBJECTIVES: The roles of magnetic resonance imaging (MRI) -based radiomics approach and deep learnin...
PURPOSE: Limited investigation is available on the correlation between environmental phenols' exposu...
OBJECTIVE: To investigate the accuracy of machine learning (ML) algorithms in stratifying risk of pr...
PURPOSE: Organ-at-risk segmentation is essential in adaptive radiotherapy (ART). Learning-based auto...
Geometric distortions in brain MRI images arising from susceptibility artifacts at air-tissue interf...
High-order radiomic features have been shown to produce high performance models in a variety of scen...
Lung cancer is a major cause accounting for cancer-related mortalities, with lung adenocarcinoma (LU...
BACKGROUND: This study performs a detailed bioinformatics and machine learning analysis to investiga...
The tissue diagnosis of adenocarcinoma and intraductal carcinoma of the prostate includes Gleason gr...
Chronic kidney disease (CKD) represents a significant global health challenge, characterized by kidn...
Lung cancer is the leading cause of cancer-related deaths globally, with non-small cell lung cancer ...
PURPOSE: Currently, precise patient body weight (BW) at the time of diagnostic imaging cannot always...
OBJECTIVE: Lung adenocarcinoma poses a major global health challenge and is a leading cause of cance...
As a lung cancer biomarker, exosomes were utilized for in vitro diagnosis to overcome the lack of se...
BACKGROUND: It is uncertain which biological features underpin the response of rectal cancer (RC) to...
PURPOSE: To develop a combined radiomics and deep learning (DL) model in predicting radiation esopha...