Latest AI and machine learning research in brain cancer for healthcare professionals.
Fluoroscopically guided electrophysiology (EP) procedures expose operators to low doses of ionizing ...
BACKGROUND: Pineal region tumors (PRTs) are rare but deep-seated brain tumors, and complete surgical...
One possible adverse effect of breast irradiation is the development of pulmonary fibrosis. The aim ...
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...
Accurate differentiation of pseudoprogression (PsP) from True Progression (TP) following radiotherap...
INTRODUCTION: Artificial intelligence (AI) has the potential to significantly enhance workplace safe...
Radiation pneumonia (RP) is the most common side effect of chest radiotherapy, and can affect patien...
In this research work, we present our open-source Geant4-based Monte-Carlo simulation application, c...
Photon-counting computed tomography (PCCT) marks a significant advancement over conventional Energy-...
Employing a whole-brain (WB) mask as a region of interest for extracting radiomic features is a feas...
Manual segmentation of histopathological images is both resource-intensive and prone to human error,...
We developed and validated a magnetic resonance imaging (MRI)-based radiomics model for the classifi...
BACKGROUND: Glioblastoma (GBM) is the most aggressive adult primary brain cancer, characterized by s...
OBJECTIVE: Breast cancer (BC) remains the most prevalent malignancy among women. Clinical evidence i...
The aim of this study was to establish a nomogram based on clinical, radiomics, and deep transfer le...
BACKGROUND: Noise reduction tools developed with artificial intelligence (AI) may be implemented to ...
Urban trees play a pivotal role in mitigating heat, yet the global determinants and patterns of thei...
Glioma is one of the most lethal types of brain tumors, accounting for approximately 33% of all diag...
OBJECTIVE: The aim of this study was to evaluate various radiomics-based machine learning classifica...