Latest AI and machine learning research in brain cancer for healthcare professionals.
Fluoroscopically guided electrophysiology (EP) procedures expose operators to low doses of ionizing ...
One possible adverse effect of breast irradiation is the development of pulmonary fibrosis. The aim ...
BACKGROUND: Pineal region tumors (PRTs) are rare but deep-seated brain tumors, and complete surgical...
Background: Deep learning has potential to improve the efficiency and consistency of radiation the...
Reliable MRI defacing techniques to safeguard patient privacy while preserving brain anatomy are c...
We investigate artificial-intelligence-supported in-line holographic imaging with coherent terahertz...
OBJECTIVE: Development of a deep learning model for accurate preoperative identification of glioblas...
Artificial intelligence (AI) incorporation into healthcare has proven revolutionary, especially in r...
Radiotherapy often involves a prolonged treatment period. During this time, patients may experienc...
Accurate differentiation of pseudoprogression (PsP) from True Progression (TP) following radiotherap...
Radiation pneumonia (RP) is the most common side effect of chest radiotherapy, and can affect patien...
INTRODUCTION: Artificial intelligence (AI) has the potential to significantly enhance workplace safe...
In this research work, we present our open-source Geant4-based Monte-Carlo simulation application, c...
Manual segmentation of histopathological images is both resource-intensive and prone to human error,...
Employing a whole-brain (WB) mask as a region of interest for extracting radiomic features is a feas...
BACKGROUND: Glioblastoma (GBM) is the most aggressive adult primary brain cancer, characterized by s...
We developed and validated a magnetic resonance imaging (MRI)-based radiomics model for the classifi...
Glioma is one of the most lethal types of brain tumors, accounting for approximately 33% of all diag...
Urban trees play a pivotal role in mitigating heat, yet the global determinants and patterns of thei...
BACKGROUND: Noise reduction tools developed with artificial intelligence (AI) may be implemented to ...
The aim of this study was to establish a nomogram based on clinical, radiomics, and deep transfer le...