Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Developing a combined artificial intelligence (AI) and ultrasound imaging to provide an ...
Alzheimer's disease (AD) refers to a neurological disorder that causes damage to brain cells and res...
This paper explores uncertainty quantification (UQ) as an indicator of the trustworthiness of automa...
INTRODUCTION: Attenuation correction (AC) is necessary for accurate assessment of radioactive distri...
Transcranial ultrasound imaging is a popular method to study cerebral functionality and diagnose bra...
BACKGROUND AND AIM: Computed tomography of the abdomen exhibits subtle and complex features of liver...
Can brain structure predict human intelligence? T1-weighted structural brain magnetic resonance imag...
OBJECTIVE: To assess the viability of using ultra-low radiation and contrast medium (CM) dosage in a...
With the increasing demand for precision medicine in cancer patients, radiogenomics emerges as a pro...
Magnetic microrobots, designed to navigate the complex environments of the human body, show promise ...
BACKGROUND: Cognitive fusion MRI-guided targeted biopsy (cTB) has been widely used in the diagnosis ...
Brain tumor diagnosis is an important task in prognosing and treatment planning of the patients with...
Breast cancer is one of the most common and deadly cancers in women. Triple-negative breast cancer (...
Breast cancer is a major cause of morbidity and mortality in women. In breast cancer screening, Dyna...
Arterial stiffness has emerged as a prominent marker of risk for cardiovascular diseases. Few studie...
BACKGROUND: To develop an artificial intelligence (AI)-based model using Radiomics, deep learning (D...
Persistence landscapes, a sophisticated tool from topological data analysis, offer a promising appro...
Persistence images, derived from topological data analysis, emerge as a powerful tool for visualizin...
Positron emission tomography (PET) utilizes radiotracers like [F]fluorodeoxyglucose (FDG) to measure...
PURPOSE: The purpose of this study was to investigate whether the high-precision magnetic resonance ...
MR images with high signal-to-noise ratio (SNR) provide more diagnostic information. Various methods...