Latest AI and machine learning research in brain cancer for healthcare professionals.
Crop yield is important for agricultural productivity and the country's economy. While crop yield es...
Breast cancer is a relatively common carcinoma among women worldwide and remains a considerable publ...
Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and dea...
Brain tumors are becoming more prevalent, often leading to severe disability and high mortality rate...
Diffuse glioma, the most prevalent and malignant intracranial tumor, presents a formidable challenge...
Many deep learning methods have been proposed for brain tumor segmentation from multi-modal Magnetic...
BACKGROUND AND PURPOSE: Single-session, multiparametric [¹⁸F]FET PET/MRI is used to detect tumor rec...
. Radiotherapy treatment planning is a time-consuming and potentially subjective process that requir...
BACKGROUND AND PURPOSE: Cancers show heterogeneity at various levels, from genome to radiologic imag...
BACKGROUND: Atezolizumab combined with bevacizumab has become the standard first-line systemic thera...
.: In radiation oncology, precision and timeliness of both planning and treatment are paramount valu...
PURPOSE: Spinal navigation systems require pre- and/or intra-operative 3-D imaging, which expose you...
This study employed state-of-the-art machine learning to evaluate the mortality effects of alpha-emi...
INTRODUCTION: The dose magnitude required to fine-tune radiation in multi-lesion stereotactic ablati...
Acid ceramidase (ASAH1), a lysosomal enzyme that regulates ceramide and sphingosine-1-phosphate bala...
Diethylene glycol dibenzoate (DEGDB) is a novel environmentally friendly plasticizer. However, toxic...
The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...
The prevalence of Alzheimer's disease and other dementias is increasing as populations live longer l...
Gliomas are the most prevalent malignant primary brain tumors and present diagnostic challenges due ...
Sparse-view computed tomography (CT) holds promise for reducing radiation exposure and enabling nove...
Thermophotovoltaics (TPVs) convert radiative heat to electricity and are promising in applications s...