One of the most promising areas of health innovation is the application of artificial
intelligence (AI), primarily in medical imaging. This article provides basic definitions of terms …

Recent technological advances in the field of artificial intelligence hold promise in
addressing medical challenges in breast cancer care, such as early diagnosis, cancer …

Radiomics is an emerging translational field of medicine based on the extraction of high-
dimensional data from radiological images, with the purpose to reach reliable models to be …

The diagnosis of breast cancer currently relies on radiological and clinical evaluation,
confirmed by histopathological examination. However, such approach has some limitations …

This study aimed to deeply analyze the application of DWI and DCE-MRI imaging in breast
cancer, the correlation between the imaging characteristics of DWI and DCE-MRI and the …

Prostate cancer (PCa) is one of the most prevalent cancers in men. A large number of men
are detected with PCa; however, the clinical behavior ranges from low-grade indolent …

Objectives: Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) is a
promising non-invasive imaging technique to detect and grade prostate cancer (PCa) …

The rapid increase in prostate cancer (PCa) patients is similar to that of benign prostatic
hyperplasia (BPH) patients, but the treatments are quite different. In this research, magnetic …

Purpose To design ab value and first‐order motion moment (M1) optimized data acquisition
for repeatable intravoxel incoherent motion (IVIM) quantification in the liver. Methods Cramer …

Objective: This study aimed to compare the potential of monoexponential model (MEM),
intravoxel incoherent motion (IVIM) model, kurtosis model, and IVIM–kurtosis model in the …