The use of artificial intelligence (AI) and radiomics in the healthcare setting to advance
disease diagnosis and management and facilitate the creation of new therapeutics is …

The high incidence of rectal cancer in both sexes makes it one of the most common tumors,
with significant morbidity and mortality rates. To define the best treatment option and …

Background Preoperative prediction of microsatellite instability (MSI) status in colorectal
cancer (CRC) patients is of great significance for clinicians to perform further treatment …

Objectives: To develop and validate the model for distinguishing brain abscess from cystic
glioma by combining deep transfer learning (DTL) features and hand-crafted radiomics …

Background Microsatellite instability (MSI) predetermines responses to adjuvant 5‐
fluorouracil and immunotherapy in rectal cancer and serves as a prognostic biomarker for …

The prognosis of patients with colorectal cancer (CRC) mostly relies on the classic tumor
node metastasis (TNM) staging classification. A more accurate and convenient prediction …

Radiomics is an advanced image-processing framework, which extracts image features and
considers them as biomarkers towards personalized medicine. Applications include disease …

Gastrointestinal (GI) cancers are the major cause of cancer-related mortality globally.
Medical imaging is an important auxiliary means for the diagnosis, assessment and …

The objective of this study is to develop a radiomic signature constructed from deep learning
features and a nomogram for prediction of axillary lymph node metastasis (ALNM) in breast …

Background Maturation of ultrasound myocardial tissue characterization may have far-
reaching implications as a widely available alternative to cardiac magnetic resonance …