Radiology

Nuclear Medicine

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

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Comparison of Renal Function between Robot-Assisted and Open Partial Nephrectomy as Determined by Tc 99m-DTPA Renal Scintigraphy.

We compared postoperative renal function impairment between patients undergoing robot-assisted parti...

Monitoring vascular normalization induced by antiangiogenic treatment with (18)F-fluoromisonidazole-PET.

BACKGROUND: Rationalization of antiangiogenics requires biomarkers. Vascular re-normalization is one...

Endoscopic autologous cartilage injection for the patulous eustachian tube.

Patulous eustachian tube (PET) can have a significant negative impact on a patient's quality of life...

Cytokine profiles in peritoneal dialysis effluent predicts the peritoneal solute transport rate in continuous ambulatory peritoneal dialysis patients.

Cytokine profiles in peritoneal dialysis effluent (PDE) vary among patients of continuous ambulatory...

Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks.

Imaging of cancer with 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) has become ...

Combined unsupervised-supervised classification of multiparametric PET/MRI data: application to prostate cancer.

Multiparametric medical imaging data can be large and are often complex. Machine learning algorithms...

Fully-automated synthesis of 16β-(18)F-fluoro-5α-dihydrotestosterone (FDHT) on the ELIXYS radiosynthesizer.

Noninvasive in vivo imaging of androgen receptor (AR) levels with positron emission tomography (PET)...

Size Control in the Nanoprecipitation Process of Stable Iodine (¹²⁷I) Using Microchannel Reactor-Optimization by Artificial Neural Networks.

In this study, nanosuspension of stable iodine ((127)I) was prepared by nanoprecipitation process in...

Evaluation of extra virgin olive oil stability by artificial neural network.

The stability of extra virgin olive oil in polyethylene terephthalate bottles and tinplate cans stor...

Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population.

OBJECTIVE: We aimed to investigate if early revascularization in patients with suspected coronary ar...

Diagnostic performance of bone scintigraphy analyzed by three artificial neural network systems.

OBJECTIVE: The accuracy of bone scintigraphy analyzed by computer-assisted diagnosis (CAD) software ...

Machine learning models for the differential diagnosis of vascular parkinsonism and Parkinson's disease using [(123)I]FP-CIT SPECT.

PURPOSE: The study's objective was to develop diagnostic predictive models using data from two commo...

Robot-assisted therapy for improving social interactions and activity participation among institutionalized older adults: a pilot study.

INTRODUCTION: Animal-assisted therapy is gaining popularity as part of therapeutic activities for ol...

[AI-based applications in medical image computing].

The processing of medical images plays a central role in modern diagnostics and therapy. Automated p...

A myocardial reorientation method based on feature point detection for quantitative analysis of PET myocardial perfusion imaging.

OBJECTIVE: Reorienting cardiac positron emission tomography (PET) images to the transaxial plane is ...

Advances in the application of 18 F-sodium fluoride PET in the assessment of atherosclerosis.

Atherosclerosis serves as the primary cause of cardiovascular diseases (CVDs), with its pathological...

Applications of artificial intelligence and advanced imaging in pediatric diffuse midline glioma.

Diffuse midline glioma (DMG) is a rare, aggressive, and fatal tumor that largely occurs in the pedia...

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