Latest AI and machine learning research in lung cancer for healthcare professionals.
This review explores the mechanisms of chronic radiation-induced skin injury fibrosis, focusing on t...
BACKGROUND: Mesenchymal epithelial transformation (MET) is a key molecular target for diagnosis and ...
Several centers have reported their experience with single-port robot-assisted partial nephrectomy ...
The aim of this study was to investigate the feasibility of deep learning (DL) based on multiparamet...
Hyperuricemia is a risk factor for the progression of chronic kidney disease (CKD). We compared febu...
BACKGROUND:: Efficient and accurate delineation of organs at risk (OARs) is a critical procedure for...
The computed tomography (CT) technique is extensively employed as an imaging modality in clinical se...
OBJECTIVE: Fast progression (FP) represents a desperate situation for advanced non-small cell lung c...
Manual segmentation of tumors and organs-at-risk (OAR) in 3D imaging for radiation-therapy planning ...
BACKGROUND: It is not unusual to see some parts of tissues are excluded in the field of view of CT s...
Identification of isocitrate dehydrogenase (IDH)-mutant glioma patients at high risk of early progre...
. Prior to radiation therapy planning, accurate delineation of gross tumour volume (GTVs) and organs...
INTRODUCTION: This study was conducted to understand the impact of package insert (PI) revision in J...
Characterization of gene regulatory mechanisms in cancer is a key task in cancer genomics. CCCTC-bin...
PURPOSE: Artificial intelligence (AI)-based auto-segmentation models hold promise for enhanced effic...
With the ever-increasing use of computed tomography (CT), concerns about its radiation dose have bec...
BACKGROUND AND PURPOSE: Survival is frequently assessed using Cox proportional hazards (CPH) regress...
Pathophysiologic changes in lung diseases are often accompanied by changes in ventilation and gas ex...
This analysis aimed to characterize the exposure-response relationship of bevacizumab in non-small-...
BACKGROUND: This study aimed to develop and validate radiomics and deep learning (DL) signatures for...
BACKGROUND: In solid-predominantly invasive lung adenocarcinoma (SPILAC), occult lymph node metastas...