Latest AI and machine learning research in brain cancer for healthcare professionals.
Raman spectroscopy provides comprehensive biochemical information on a sample's composition, yet it ...
BACKGROUND AND PURPOSE: Accurate glioma segmentation has the potential to enhance clinical decision-...
In nanostructure extraction, advanced techniques like synchrotron radiation and electron microscopy ...
To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...
To develop a machine learning-based predictive model for local recurrence after radiotherapy in pati...
Radiation protection is a critical pillar supporting the use of nuclear energy and nuclear technolog...
Meningiomas are among the most common intracranial tumors, and challenges still remain in terms of t...
BACKGROUND: Despite the widespread use of stereotactic radiosurgery (SRS) to treat cerebral arteriov...
BACKGROUND: Meningioma consistency critically impacts surgical planning, as soft tumors are easier t...
Patients with lumbar degenerative disease typically undergo preoperative MRI combined with CT scans,...
Some studies have developed machine learning (ML) models for the prediction of pneumonitis following...
Tumor suppressor genes (TSGs) are critical regulators of cellular homeostasis and are extensively st...
The human thalamus projects nerve fibers to all cortical regions and propagates epileptic activity. ...
Reconstructive flap surgery aims to restore the substance and function losses associated with tumor ...
Segmenting abnormalities is a leading problem in medical imaging. Using machine learning for segment...
The aim of this commentary review was to summarize the main research evidences on radiation exposure...
PURPOSE: We evaluated a dedicated dose-reduced UHR-CT for head and neck imaging, combined with a nov...
Intraoperative imaging has enhanced the precision of biliary surgery in pediatric patients by improv...
Breast cancer (BC), the most common cancer in women, remains a global health concern. According to t...
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by the ...
BACKGROUND AND PURPOSE: Diagnosis of tumefactive demyelination can be challenging. The diagnosis of ...