Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An
understanding of the principles and application of radiomics, artificial neural networks, machine …

Purpose To generate diagnostic 18 F-FDG PET images of pediatric cancer patients from
ultra-low-dose 18 F-FDG PET input images, using a novel artificial intelligence (AI) algorithm. …

The emergence of artificial intelligence (AI) in Nuclear Medicine, and the promise of synthetic
intelligence, heralds an era of disruptive technology with the potential to re-invigorate the …

Artificial intelligence (AI) in nuclear medicine has gained significant traction and promises to
be a disruptive, but innovative, technology. Recent developments in artificial neural networks…

Integrated PET/MRI has shown significant clinical value for staging and restaging of children
with cancer by providing functional and anatomic tumor evaluation with a 1-stop imaging …

Objectives To compare the diagnostic accuracy of 2-[ 18 F]fluoro-2-deoxy-d-glucose-enhanced
positron emission tomography (2-[ 18 F]FDG-PET) and diffusion-weighted magnetic …

There is an ongoing trend in the direction of flexible work arrangements in which employees
can decide where and when to work. Multiple studies have demonstrated a significant …

Purpose To evaluate if ferumoxytol can improve the detection of bone marrow metastases at
diffusion-weighted (DW) MRI in pediatric and young adult patients with cancer. Materials …

Conventional radiomics in nuclear medicine involve hand‐crafted and computer‐assisted
regions of interest. Recent developments in artificial intelligence (AI) have seen the …

Background 18 F‐fluorodeoxyglucose (FDG) positron emission tomography (PET) is
valuable for determining presence of viable tumor, but is limited by geographical restrictions, …