Latest AI and machine learning research in brain cancer for healthcare professionals.
Digital twin technology has emerged as a transformative innovation in healthcare, offering virtual replicas of physical entities at patient-level, equipment-level, and departmental-level that enable real-time monitoring, prediction, and optimisation. This narrative review synthesizes current evidence on digital twin maturity and clinical translation in radiology and radiotherapy. A comprehensive l...
Glioma is a highly malignant brain tumor with limited treatment options. We employed the Computational Analysis of Novel Drug Opportunities (CANDO) pl...
With global population aging and increased life expectancy, bone diseases affect a substantial proportion of individuals worldwide, imposing a signifi...
Uveal melanoma (UM) presents a formidable clinical challenge due to its marked resistance to radiotherapy. In this study, an integrative strategy comb...
OBJECTIVE: Radiation-induced erectile dysfunction (RIED) is a frequent, unpredictable complication following radiotherapy for prostate cancer. We hypo...
BACKGROUND: Robot-assisted spinal surgery has rapidly evolved into a transformative innovation. Initially developed for pedicle screw placement, curre...
OBJECTIVE: To investigate the potential risk of nicotine exposure on glioblastoma multiforme (GBM). METHODS: A two-sample Mendelian randomization (MR)...
BACKGROUND: Minimizing radiation exposure during pediatric spinal deformity correction is critical due to the cumulative lifetime effects of ionizing ...
We evaluated artificial intelligence (AI) for detecting osteoradionecrosis, fibrosis, trismus, and dysphagia in 207 head and neck cancer patient elect...
BACKGROUND: Hybrid single-photon emission computed tomography (SPECT)/computed tomography (CT) is used for the differential diagnosis of thyrotoxicosi...
The CRISPR-Cas12a system offers a promising platform for simple and sensitive nucleic acid diagnostics, including tumor-associated variant detection a...
Multi-omics integration holds considerable promise for advancing disease understanding and improving the performance of biomedical classification task...
This study presents an AI-assisted inverse design methodology for a compact and ultra-wideband grooved half-mode waveguide (G-HMWG) end-fire antenna. ...
Accurate short-term solar radiation forecasting is essential for the reliable integration of photovoltaic systems into modern power grids, particularl...
Accurate ultra-short-term solar radiation forecasting is critical for renewable energy integration and power grid stability, yet operational systems e...
Glioma is a highly aggressive brain tumor characterized by a profoundly immunosuppressive tumor microenvironment dominated by M2-polarized tumor-assoc...
MRI has a central role in the diagnosis and management of prostate cancer, including active surveillance (AS) of low- and favourable intermediate-risk...
PURPOSE: The exponential growth of scientific publications presents increasing challenges for clinicians and patients seeking to access up-to-date med...