Latest AI and machine learning research in nuclear medicine for healthcare professionals.
BACKGROUND: Prostate-specific membrane antigen (PSMA) is an important target for positron emission tomography (PET) with computed tomography (CT) in prostate cancer. In addition to overexpression in prostate cancer cells, PSMA is expressed in healthy cells in the proximal tubules of the kidneys. Consequently, PSMA PET is being explored for renal functional imaging. Left and right renal uptake of P...
Bromine-77 has a half-life of 56Â h and decays nearly exclusively (99.3Â %) by electron capture, with prominent gamma rays at 239.0 and 520.7Â keV. Once considered primarily for SPECT imaging, this nuclide is increasingly being evaluated for its potential in Auger electron therapy. In this study, deep learning algorithms with Python programming language are improved to predict the production cross se...
BACKGROUND AND PURPOSE: Epilepsy, a globally prevalent neurologic disorder, necessitates precise identification of the epileptogenic zone (EZ) for eff...
In medical imaging, challenges are competitions that aim to provide a fair comparison of different methodologic solutions to a common problem. Challen...
BACKGROUND: This study aims to explore the feasibility to automate the application process of nomograms in clinical medicine, demonstrated through the...
Tc-TRODAT-1 SPECT is effective for the early detection of Parkinson's disease (PD). However, SPECT images suffer from severe partial volume effect, wh...
Solving computer vision problems through machine learning, one often encounters lack of sufficient training data. To mitigate this, we propose the use...
OBJECTIVE: To create an automated PET/CT segmentation method and radiomics model to forecast Mismatch repair (MMR) and TP53 gene expression in endomet...
Novel artificial intelligence tools have the potential to significantly enhance productivity in medicine, while also maintaining or even improving tre...
Disinfection processes in water treatment produce disinfection byproducts (DBPs), such as iodinated trihalomethanes (I-THMs), which pose significant h...
OBJECTIVES: To evaluate the predictive performance of artificial intelligence (AI) methods using pre-treatment PET-based imaging for outcome predictio...
Attenuation correction (AC) is essential for achieving quantitatively accurate PET imaging. In Ga-PSMA PET, however, artifacts such as respiratory mo...
123I-FP-CIT dopamine transporter imaging is commonly used for the diagnosis of Parkinsonian syndromes in patients whose clinical presentation is atyp...
INTRODUCTION: This systematic review investigates the potential of artificial intelligence (AI) in improving the accuracy and efficiency of prostate-s...
PURPOSE: This bi-centric pilot study investigates the predictive value of pre-treatment [F]FDG PET/CT radiomics for assessing therapy response in prim...
Chronic thromboembolic pulmonary hypertension (CTEPH) is a potentially life-threatening condition, classified as group 4 pulmonary hypertension (PH), ...
Musculoskeletal tumors present a diagnostic challenge due to their rarity, histological diversity, and overlapping imaging features. Accurate characte...
Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), has significant potential to advance the capabilities of nucl...
Differentiation of adrenal incidentalomas (AIs) remains a challenge in the oncological setting. The aim of the study was to explore the diagnostic ef...
The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is rapidly increasing and is caused by excessive fat deposition in ...