Latest AI and machine learning research in nuclear medicine for healthcare professionals.
Sustainable seaweed value chains necessitate accurate biomass biochemical characterisation that lead...
OBJECTIVES: This study evaluates the effectiveness of machine learning (ML) models that incorporate ...
Zearalenone (ZEN) has been detected in both pet food ingredients and final products, causing acute t...
OBJECTIVES: To develop and validate deep learning (DL)-models that denoise late iodine enhancement (...
The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy a...
BACKGROUND: [F] Fluorodeoxyglucose (FDG) PET-CT is a clinical imaging modality widely used in diagno...
PURPOSE: Prolonged scanning durations are one of the primary barriers to the widespread clinical ado...
Restricted to the complex nature of dissolved organic matter (DOM) in various aquatic environments, ...
[F]FDG PET/CT is a powerful imaging modality of high performance in multiple myeloma (MM) and is con...
PURPOSE: This study aimed to develop and evaluate a machine learning model combining clinical, radio...
When processing lucuma (), waste such as shells and seeds is generated, which is a source of bioacti...
The integration of computational technologies into cardiology has significantly advanced the diagnos...
Positron emission tomography/computed tomography (PET/CT) is a hybrid medical imaging technique that...
PURPOSE: Glomerular filtration rate (GFR) measured by dynamic renal scintigraphy (Gates method) is u...
RATIONALE AND OBJECTIVES: This study aimed to develop a radiomics model characterized by Ga-fibrobla...
BACKGROUND AND OBJECTIVE: Positron emission tomography/computed tomography (PET/CT) is recommended a...
PURPOSE: The objective of this study is to generate reliable K parametric images from a shortened [F...
OBJECTIVES: Low-dose (LD) PET imaging would lead to reduced image quality and diagnostic efficacy. W...
The application of deep learning techniques for the analysis of neuroimaging has been increasing rec...
PURPOSE: Deep convolutional neural networks (CNN) hold promise for assisting the interpretation of d...
BACKGROUND: This study aims to develop habitat radiomic models to predict overall survival (OS) for ...