Latest AI and machine learning research in lung cancer for healthcare professionals.
BACKGROUND: Surgical resection is the major way to cure pancreatic ductal adenocarcinoma (PDAC). How...
Acute esophagitis (AE) occurs among a significant number of patients with locally advanced lung canc...
Innovations in CT have been impressive among imaging and medical technologies in both the hardware a...
STELLA-LONG TERM, a 3-year post-marketing surveillance study, evaluated the safety and effectiveness...
Schistosomiasis has been associated with kidney diseases leading to serious health problems especial...
Background CT deep learning reconstruction (DLR) algorithms have been developed to remove image nois...
Non-invasive ischemic cancer therapy requires reduced blood flow whereas drug delivery and radiation...
PURPOSE: Contouring inconsistencies are known but understudied in clinical radiation therapy trials....
PURPOSE: This study investigated deep learning models for automatic segmentation to support the deve...
Radiomics is defined as the use of automated or semi-automated post-processing and analysis of multi...
Positron emission tomography (PET) imaging plays an indispensable role in early disease detection an...
PURPOSE: This work aims to study the generalizability of a pre-developed deep learning (DL) dose pre...
Two major treatment strategies employed in non-small cell lung cancer, NSCLC, are tyrosine kinase in...
BACKGROUND: Classification of primary central nervous system tumors according to the World Health Or...
Randomized trials have demonstrated that ablation of dysplastic Barrett's esophagus can reduce the r...
PURPOSE: To develop a deep learning model that generates consistent, high-quality lymph node clinica...
One of the most important steps of the partial nephrectomy (PN) is hemostatic control of tumor bed w...
As high-throughput approaches in biological and biomedical research are transforming the life scienc...
The use of machine learning and other sophisticated models to aid in prediction and decision making ...
Manual segmentation is the gold standard method for radiation therapy planning; however, it is time-...
We propose a multi-view data analysis approach using radiomics and dosiomics (R&D) texture features ...