Artificial intelligence has been emerging as an increasingly important aspect of our daily
lives and is widely applied in medical science. One major application of artificial intelligence …

Simple Summary Spinal metastasis is the most common malignant disease of the spine, and
its early diagnosis and treatment is important to prevent complications and improve quality of …

Accurate risk-stratification can facilitate precision therapy in oropharyngeal squamous cell
carcinoma (OPSCC). We explored the potential added value of baseline positron emission …

Compared to computed tomography (CT), magnetic resonance imaging (MRI) is more
sensitive to acute ischemic stroke lesion. However, MRI is time-consuming, expensive, and …

Antimicrobial resistance (AMR) presents a significant threat to global healthcare. Proteus
mirabilis causes catheter-associated urinary tract infections (CAUTIs) and exhibits increased …

Objective To devise and validate radiomic signatures of impending hematoma expansion
(HE) based on admission non-contrast head computed tomography (CT) of patients with …

Quantitative analysis of medical images can provide objective tools for diagnosis,
prognostication, and disease monitoring. Radiomics refers to automated extraction of a large …

When planning radiation therapy, late effects due to the treatment should be considered.
One of the most common complications of head and neck radiation therapy is …

Determining progression-free survival (PFS) for head and neck squamous cell carcinoma
(HNSCC) patients is a challenging but pertinent task that could help stratify patients for …

Background and purpose Radiomics provides a framework for automated extraction of high‐
dimensional feature sets from medical images. We aimed to determine radiomics signature …