Latest AI and machine learning research in brain cancer for healthcare professionals.
Cyanobacterial blooms in shallow lakes pose a significant threat to aquatic ecosystems and public he...
BACKGROUND: Accurate preoperative grading of meningiomas is crucial for selecting the most suitable ...
Brain tumors pose a significant medical challenge, necessitating early detection and precise classif...
It is critical to appreciate the role of the tumour-associated microenvironment (TME) in developing ...
BACKGROUND: Palliative spine radiation therapy is prone to treatment at the wrong anatomic level. We...
Gliomas are the most prevalent form of primary brain tumours. Recently, targeting the PD-1 pathway w...
The implementation of deep neural networks has spurred the creation of deep learning reconstruction ...
This study aimed to investigate the genetic association between glioblastoma (GBM) and unsupervised ...
The disease course and clinical outcome for brain tumor patients depend not only on the molecular an...
BACKGROUND: Formalin-fixed, paraffin-embedded (FFPE) tissue slides are routinely used in cancer diag...
The aim of this study was to develop a machine-learning prediction model for AKI after craniotomy an...
OBJECTIVE: Maximizing safe resection in neuro-oncology has become paramount to improving patient sur...
Technological advancements have enabled the extended investigation, development, and application of ...
The development, application, and benchmarking of artificial intelligence (AI) tools to improve diag...
OBJECTIVES: Telomerase reverse transcriptase promoter (pTERT) mutation status plays a key role in ma...
Contrast-MRI scans carry risks associated with the chemical contrast agents. Accurate prediction of ...
MR imaging is central to the assessment of tumor burden and changes over time in neuro-oncology. Sev...
PURPOSE: Recent artificial intelligence algorithms aided intraoperative decision-making via stimulat...
BACKGROUND: The article explores the potential risk of secondary cancer (SC) due to radiation therap...
Purpose To develop and validate a deep learning (DL) method to detect and segment enhancing and none...
INTRODUCTION: Glioblastoma (GB) is one of the most aggressive tumors of the brain. Despite intensive...