Latest AI and machine learning research in brain cancer for healthcare professionals.
BACKGROUND: Accurate calculation of lung cancer dose using the Monte Carlo (MC) algorithm in CyberKn...
BACKGROUND: Radiation-induced pneumonitis affects up to 33% of non-small cell lung cancer (NSCLC) pa...
Recent advancements in neuroimaging and machine learning have significantly improved our ability to ...
This study aims to investigate the feasibility of utilizing generative adversarial networks (GANs) t...
Brain metastases (BMs) in extensive-stage small cell lung cancer (ES-SCLC) are often associated with...
PURPOSE: Artificial intelligence (AI) and machine learning present an opportunity to enhance clinica...
BACKGROUND: The Ki-67 index is a histopathological marker that has been reported to be a crucial fac...
BACKGROUND: Formulating a clinically acceptable plan within the time-constrained clinical setting of...
The main objective of the current endeavor is to monitor hypothetical processes utilizing a Sisko tr...
Glioblastoma is an aggressive brain cancer with a poor prognosis. The O6-methylguanine-DNA methyltra...
Artificial intelligence (AI) based treatment planning tools are being implemented in clinic. However...
OBJECTIVE: To assess the viability of using ultra-low radiation and contrast medium (CM) dosage in a...
Gliomas represent a highly aggressive class of tumors located in the brain. Despite the availability...
Glioblastoma (GBM) is the most malignant brain cancer and one of the leading causes of cancer-relate...
BACKGROUND AND PURPOSE: Glioblastoma is a highly aggressive brain tumor with limited survival that p...
BACKGROUND AND PURPOSE: To describe the clinical commissioning of an in-house artificial intelligenc...
Radiotherapy has been demonstrated to be one of the most significant treatments for cervical cancer,...
OBJECTIVE: The purpose of this study was to compare radiation dose reduction capability for accurate...
Reporting of diagnostic nuclear images in clinical cancer management is generally qualitative. Thera...
OBJECTIVES: To evaluate the diagnostic accuracy of machine learning models incorporating multimodal ...
Early and precise diagnosis of craniosynostosis (CSO), which involves premature fusion of cranial su...