Latest AI and machine learning research in brain cancer for healthcare professionals.
The firmness of meningiomas is a critical factor that impacts the surgical approach recommended for ...
PURPOSE: Machine Learning (ML) has become an essential tool for analyzing biomedical data, facilitat...
As non-surgical therapies gain acceptance in head and neck tumors, the importance of imaging has inc...
Substantial endeavors have been recently dedicated to developing artificial intelligence (AI) soluti...
The viability of cells and the integrity of the genome depend on the detection and repair of damaged...
We have recently developed a machine learning classifier that enables fast, accurate, and affordable...
Soft tissue metastasis in esophageal cancer is a very rare entity. A 76-year-old man was referred fo...
Brain tumours are a significant health concern, often resulting in severe cognitive and physiologica...
Colorectal cancer (CRC) is the most common malignancy in the digestive system, with a lower 5-year o...
Solar radiation plays a critical role in the carbon sequestration processes of terrestrial ecosystem...
Integrating artificial intelligence (AI) into radiation oncology has revolutionized clinical workflo...
High-grade glioma (HGG) is an aggressive brain tumor with poor survival rates. Predicting survival o...
PURPOSE: Hepatocellular carcinoma (HCC) remains a global health concern, marked by increasing incide...
The growth of glioma is frequently accompanied by a hypoxic microenvironment. Nevertheless, the clin...
Computed tomography (CT) is a crucial medical imaging technique which uses x-ray radiation to identi...
OBJECTIVE: To systematically evaluate glioma radiomics literature on differentiating between radiati...
Diagnosing ureteral stones with low-dose CT in patients with metal hardware can be challenging beca...
Skin cancer can be prevalent in people of any age group who are exposed to ultraviolet (UV) radiatio...
Malignant glioma is the uncontrollable growth of cells in the spinal cord and brain that look simila...
PURPOSE: This study investigated the effect of multiple magnetic resonance (MR) sequences on the qua...
The segmentation and risk grade prediction of gliomas based on preoperative multimodal magnetic reso...