Latest AI and machine learning research in brain cancer for healthcare professionals.
Microplastics (MPs) and nanoplastics (NPs) are global pollutants with emerging concerns. Methods to ...
As artificial intelligence (AI) is increasingly integrated in healthcare, it is incumbent on healthc...
BACKGROUND: The anatomical infiltrated brain area and the boundaries of gliomas have a significant i...
OBJECTIVES: To establish a deep learning (DL) model for predicting tumor grades and expression of pa...
Recent multi-omics studies, including proteomics, transcriptomics, genomics, and metabolomics have r...
BACKGROUND: Saliency-based algorithms are able to explain the relationship between input image pixel...
PURPOSE: Meticulous manual delineations of the prostate and the surrounding organs at risk are neces...
Current diagnosis of glioma types requires combining both histological features and molecular charac...
The number of studies on deep learning for medical diagnosis is expanding, and these systems are oft...
Automation and artificial intelligence (AI) is already possible for many radiation therapy planning ...
Accurate diagnosis of the brain tumor type at an earlier stage is crucial for the treatment process ...
This review paper presents the practical development of imaging biomarkers in the scope of the PRIMA...
BACKGROUND: Automatic solutions for generating radiotherapy treatment plans using deep learning (DL)...
Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic cancers, ...
The effectiveness and precision of disease diagnosis and treatment have increased, thanks to develop...
Tumor mutation burden (TMB) is a potential biomarker for evaluating the prognosis and response to im...
BACKGROUND/AIM: Heavy-ion irradiation seriously perturbs cellular homeostasis and thus damages cells...
Glioblastoma multiforme (GM) is a malignant tumor of the central nervous system considered to be hig...
. In MR-only clinical workflow, replacing CT with MR image is of advantage for workflow efficiency a...
We attempted to determine the optimal radiation dose to maintain image quality using a deep learnin...
Recent advances in MRI-guided radiation therapy (MRgRT) and deep learning techniques encourage fully...