Latest AI and machine learning research in brain cancer for healthcare professionals.
OBJECTIVE: To develop an interpretable machine learning (ML) model using dynamic contrast-enhanced m...
PURPOSE: We conducted a systematic review and meta-analysis to evaluate the performance of magnetic ...
Positron Emission Tomography (PET) is an important clinical imaging tool but inevitably introduces r...
Toona sinensis, a kind of phytochemicals in traditional Chinese medicine widely used in South-East A...
The mutation status of isocitrate dehydrogenase1 (IDH1) in glioma is critical information for the di...
Glioblastoma (GBM) is a fatal brain cancer known for its rapid and aggressive growth, with some stud...
This project aimed to develop and evaluate an automated, AI-based, volumetric brain tumor MRI respon...
Patients with cardioembolic stroke often undergo CT of the left atrial appendage (LAA), for example,...
Optimal selection of X-ray imaging parameters is crucial in coronary angiography and structural card...
This study aimed to develop a deep learning (DL)-based deliverable whole pelvic volumetric arc radia...
Gliomas are the most common primary tumors of the central nervous system, and advances in genetics a...
Brain tumor detection is essential for early diagnosis and successful treatment, both of which can s...
PURPOSE: This study assesses the practicality and correctness of ChatGPT-4 and 4O's answers to clini...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in diagnostic neurosurgery, enhanci...
A brain tumor is a serious medical condition characterized by the abnormal growth of cells within th...
Glioma is a malignant brain tumor with poor prognosis, and there is an urgent need to find effective...
Glioma, a malignant intracranial tumor with high invasiveness and heterogeneity, significantly impac...
Head-and-neck simultaneous integrated boost (SIB) treatment planning using intensity modulated radia...
BACKGROUND: Although gamma Knife radiosurgery (GKRS) is commonly used to treat benign brain tumors, ...
BACKGROUND: Interfraction variations during radiation therapy pose a challenge for patients with cer...
Subtraction computed tomography angiography (sCTA) can effectively separate enhanced cerebral arteri...