Latest AI and machine learning research in nuclear medicine for healthcare professionals.
PURPOSE: To compare the quality of deep learning image reconstructed (DLIR) virtual monochromatic im...
Despite the urgent need for accurate and robust observations of microplastics in the marine environm...
We aimed to evaluate the image quality and diagnostic performance of chronic lung allograft dysfunct...
BACKGROUND: Low-keV virtual monoenergetic images (VMIs) of dual-energy computed tomography (CT) enha...
A Support Vector Machine (SVM) based approach was developed to identify a pseudo-reference region fo...
OBJECTIVE: The aim of this study was to assess the effectiveness of a deep learning-based image cont...
The purpose of this paper is to provide an overview of the cutting-edge applications of artificial i...
BACKGROUND: Fluorodeoxyglucose positron emission tomography (FDG PET) with suppression of myocardial...
Medical image classification using convolutional neural networks (CNNs) is promising but often requi...
PURPOSE: This study aimed to investigate a deep learning model to classify amyloid plaque deposition...
The standard method for identifying active Brown Adipose Tissue (BAT) is [F]-Fluorodeoxyglucose ([F]...
This review explores the potential applications of Large Language Models (LLMs) in nuclear medicine,...
We develop a machine learning (ML) model using electrocardiography (ECG) to predict myocardial blood...
BACKGROUND: Natural language processing (NLP) techniques can be used to analyze large amounts of ele...
PURPOSE: The objective of this study is to assess the prognostic efficacy of F-fluorodeoxyglucose (F...
BACKGROUND: Salvage radiation therapy (sRT) is often the sole curative option in patients with bioch...
This pioneering work explores the immense potential of young coconut waste, a continuously marginali...
This systematic review aimed to evaluate the potential of deep learning algorithms for converting lo...
. Approximately 57% of non-small cell lung cancer (NSCLC) patients face a 20% risk of brain metastas...
OBJECTIVES: To develop and identify machine learning (ML) models using pretreatment 2-deoxy-2-[F]flu...
BACKGROUND: To evaluate the clinical performance of two deep learning methods, one utilizing real cl...