Radiology

Nuclear Medicine

Latest AI and machine learning research in nuclear medicine for healthcare professionals.

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Comparison of diagnostic performance between manual diagnosis following PROMISE V2 and aPROMISE utilizing Ga/F-PSMA PET/CT.

BACKGROUNDS: Automated PROMISE (aPROMISE), which is an artificial intelligence-supported software fo...

Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging.

Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet ac...

Bayesian Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models.

Positron Emission Tomography (PET) is a valuable imaging method for studying molecular-level process...

PETFormer-SCL: a supervised contrastive learning-guided CNN-transformer hybrid network for Parkinsonism classification from FDG-PET.

PURPOSE: Accurate differentiation of Parkinsonism subtypes-including Parkinson's disease (PD), multi...

The role of neuro-imaging in multiple system atrophy.

Neuroimaging plays a crucial role in diagnosing multiple system atrophy and monitoring progressive n...

Effect of data-driven motion correction for respiratory movement on lesion detectability in PET-CT: a phantom study.

PURPOSE: While data-driven motion correction (DDMC) techniques have proven to enhance the visibility...

Differentiated thyroid cancer and positron emission computed tomography: when, how and why?

INTRODUCTION: Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) has b...

Limited-angle SPECT image reconstruction using deep image prior.

. In single-photon emission computed tomography (SPECT) image reconstruction, limited-angle conditio...

Deep supervised transformer-based noise-aware network for low-dose PET denoising across varying count levels.

BACKGROUND: Reducing radiation dose from PET imaging is essential to minimize cancer risks; however,...

AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view.

This study aims to enhance the dosimetry accuracy in I planar imaging by utilizing a single oblique ...

Gut microbiota composition is related to anxiety and aggression scores in companion dogs.

There is mounting evidence for a link between behaviour and the gut microbiome in animal and human h...

Artificial intelligence in cardiac sarcoidosis: ECG, Echo, CPET and MRI.

PURPOSE OF REVIEW: Cardiac sarcoidosis is a form of inflammatory cardiomyopathy that varies in its c...

Prediction of Motor Symptom Progression of Parkinson's Disease Through Multimodal Imaging-Based Machine Learning.

The unrelenting progression of Parkinson's disease (PD) leads to severely impaired quality of life, ...

Harnessing protein language model for structure-based discovery of highly efficient and robust PET hydrolases.

Plastic waste, particularly polyethylene terephthalate (PET), presents significant environmental cha...

Unveiling degradation patterns in dye-sensitized solar cells: a machine learning perspective.

This study examines the time-dependent degradation of dye-sensitized solar cells (DSSCs) by systemat...

A Novel Two-step Classification Approach for Differentiating Bone Metastases From Benign Bone Lesions in SPECT/CT Imaging.

RATIONALE AND OBJECTIVES: This study aims to develop and validate a novel two-step deep learning fra...

Machine learning model for predicting Amyloid-β positivity and cognitive status using early-phase F-Florbetaben PET and clinical features.

This study developed machine learning models to predict Aβ positivity in Alzheimer's disease by inte...

F-FDG dose reduction using deep learning-based PET reconstruction.

BACKGROUND: A deep learning-based image reconstruction (DLR) algorithm that can reduce the statistic...

GAN-based Denoising for Scan Time Reduction and Motion Correction of 18F FP-CIT PET/CT: A Multicenter External Validation Study.

PURPOSE: AI-driven scan time reduction is rapidly transforming medical imaging with benefits such as...

Treatment Response Evaluation in Prostate Cancer Using PSMA PET/CT.

In recent years, there has been a headlong rush into the use of prostate-specific membrane antigen (...

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