Simple Summary Lung cancer is a widespread malignant tumour with a high mortality and
morbidity rate and is frequently diagnosed in the middle and late stages when few therapies …

High-grade serous ovarian cancer is the most lethal gynaecological malignancy. Detailed
molecular studies have revealed marked intra-patient heterogeneity at the tumour …

Governments and medical associations across the world, including the US Food and Drug
Administration, the UK Medicines and Healthcare products Regulatory Agency, the Royal …

Stroke is a leading cause of disability and mortality, resulting in substantial socio-economic
burden for healthcare systems. With advances in artificial intelligence, visual image …

The present era has seen a surge in artificial intelligence-related research in oncology,
mainly using deep learning, because of powerful computer hardware, improved algorithms …

Radiomics has become a research field that involves the process of converting standard
nursing images into quantitative image data, which can be combined with other data …

Objective The purpose of this study was to evaluate the diagnostic performance of computed
tomography (CT) scan–based radiomics in prediction of lymph node metastasis (LNM) in …

Objective Radiomics is the process of extracting quantitative features from radiological
images, and represents a relatively new field in gynecological cancers. Cervical cancer has …

Background: Duchenne muscular dystrophy (DMD) is a neuromuscular disorder that affects
ambulatory function. Quantitative ultrasound (QUS) imaging, utilizing envelope statistics, has …

Objective To establish a nomogram based on non-enhanced computed tomography (CT)
imaging radiomics and clinical features for use in predicting the malignancy of sub …