Latest AI and machine learning research in nuclear medicine for healthcare professionals.
INTRODUCTION: Providing tools for comprehensively evaluating scintigraphy images could enhance trans...
BACKGROUND: Computed tomography attenuation correction (CTAC) is commonly used in cardiac SPECT imag...
This review aims to provide an up-to-date overview of the utility of artificial intelligence (AI) in...
The increasing impacts of climate change on global agriculture necessitate the development of advanc...
Multiplexed positron emission tomography (mPET) imaging allows simultaneous observation of physiolog...
PURPOSE: Advancements of deep learning in medical imaging are often constrained by the limited avail...
PURPOSE: This study aimed to develop a deep learning (DL) model for brain region parcellation using ...
AIM: To develop and validate a machine learning (ML) model based on positron emission tomography/com...
PURPOSE: Build machine learning (ML) models able to predict pathological complete response (pCR) aft...
PURPOSE: The common approach for organ segmentation in hybrid imaging relies on coregistered CT (CTA...
PURPOSE: To develop and validate a prostate-specific membrane antigen (PSMA) PET/CT based multimodal...
. This study aims to enhance positron emission tomography (PET) imaging systems by developing a cont...
PURPOSE: The potential of Large Language Models (LLMs) in enhancing a variety of natural language ta...
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection ...
PURPOSE: Radiomics-based machine learning (ML) models of amino acid positron emission tomography (PE...
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolut...
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often un...
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...