Latest AI and machine learning research in nuclear medicine for healthcare professionals.
OBJECTIVE: Interpretability and reproducibility remain major challenges in applying deep neural netw...
PURPOSE: Tebentafusp has emerged as the first systemic therapy to significantly prolong survival in ...
Deep progressive learning reconstruction (DPR) is a novel deep learning-based algorithm for PET imag...
Benefits in patient comfort, efficiency, and sustainability can come from reducing positron emission...
PURPOSE: To compare PET-derived metrics between digital and analogue PET/CT in hyperparathyroidism, ...
PURPOSE: Accurate non-invasive prediction of histopathologic invasiveness and recurrence risk remain...
BACKGROUND: This study aimed to develop and validate a hybrid deep learning (DL) model that integrat...
The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...
Neuroimaging plays a crucial role in diagnosing multiple system atrophy and monitoring progressive n...
PURPOSE: While data-driven motion correction (DDMC) techniques have proven to enhance the visibility...
BACKGROUND: Spectral analysis is a model-free PET quantification technique that treats the time-spac...
. In single-photon emission computed tomography (SPECT) image reconstruction, limited-angle conditio...
INTRODUCTION: Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) has b...
BACKGROUND: Reducing radiation dose from PET imaging is essential to minimize cancer risks; however,...
This study aims to enhance the dosimetry accuracy in I planar imaging by utilizing a single oblique ...
PURPOSE OF REVIEW: Cardiac sarcoidosis is a form of inflammatory cardiomyopathy that varies in its c...
There is mounting evidence for a link between behaviour and the gut microbiome in animal and human h...
The unrelenting progression of Parkinson's disease (PD) leads to severely impaired quality of life, ...
Plastic waste, particularly polyethylene terephthalate (PET), presents significant environmental cha...
This study examines the time-dependent degradation of dye-sensitized solar cells (DSSCs) by systemat...
RATIONALE AND OBJECTIVES: This study aims to develop and validate a novel two-step deep learning fra...