Latest AI and machine learning research in lung cancer for healthcare professionals.
Convolutional neural network (CNN) type artificial intelligences were trained to estimate the Cerenk...
INTRODUCTION: This is a retrospective study conducted to report the tumor control and late toxicity ...
Accurate clinical target volume (CTV) delineation is essential to ensure proper tumor coverage in ra...
Although modern methods of whole genome DNA methylation analysis have a wide range of applications, ...
Radiation exposure and the associated risk of cancer for patients in computed tomography (CT) scans ...
OBJECTIVE: The aim of this study was to evaluate kidney function outcome in adults on home parentera...
The irradiation of scintillator-fiber optic dosimeters by clinical LINACs results in the measurement...
Accurate segmentation of pelvic organs is important for prostate radiation therapy. Modern radiation...
We present a 3D bioimage analysis workflow to quantitatively analyze single, actin-stained cells wit...
BACKGROUND: To investigate the effect of machine learning methods on predicting the Overall Survival...
BACKGROUND Aryl-carbon receptor (AhR), a ligand-activated transcription factor, is best known for it...
: Identification of early-stage pulmonary adenocarcinomas before surgery, especially in cases of sub...
This study aimed to investigate the feasibility of anatomical feature points for the estimation of p...
PURPOSE: This study aimed to report the early toxicity results of a prospective clinical trial of pr...
The development of antitumor drugs has attracted cancer researchers and the identification of novel ...
BACKGROUND: Predicting the function of transplanted kidneys would help clinicians in individualized ...
BACKGROUND: Accurate prediction of radiation toxicity of healthy organs-at-risks (OARs) critically d...
PURPOSE: Convolutional neural networks have become rapidly popular for image recognition and image a...
PURPOSE: Personalized medicine is expected to yield improved health outcomes. Data mining over massi...
With the era of big data, the utilization of machine learning algorithms in radiation oncology is ra...
The identification of compounds for dissecting biological functions and the development of novel dru...