Latest AI and machine learning research in nuclear medicine for healthcare professionals.
PURPOSE: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe ...
RATIONALE AND OBJECTIVES: This study aimed to develop and validate machine learning (ML) models util...
OBJECTIVE: To compare iodine density (ID) and contrast-enhanced attenuation value (CEAV) from dual-l...
OBJECTIVE: This study aimed to develop a simple machine-learning model incorporating lymph node meta...
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...
BACKGROUND: Noninvasive cardiac testing with coronary computed tomography angiography (CCTA) and sin...
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...
PURPOSE: Glomerular filtration rate (GFR) measured by dynamic renal scintigraphy (Gates method) is u...
Positron emission tomography/computed tomography (PET/CT) is a hybrid medical imaging technique that...
RATIONALE AND OBJECTIVES: This study aimed to develop a radiomics model characterized by Ga-fibrobla...
INTRODUCTION: This study presents a novel multi-view learning approach for machine learning (ML)-bas...