AI Medical Compendium Journal:
Revista espanola de medicina nuclear e imagen molecular

Showing 1 to 6 of 6 articles

A serial image analysis architecture with positron emission tomography using machine learning combined for the detection of lung cancer.

Revista espanola de medicina nuclear e imagen molecular Apr 16, 2024
INTRODUCTION AND OBJECTIVES: Lung cancer is the second type of cancer with the second highest incidence rate and the first with the highest mortality rate in the world. Machine learning through the analysis of imaging tests such as positron emission ...
Humans Machine Learning Retrospective Studies Male Lung Neoplasms Positron Emission Tomography Computed Tomography
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Diagnostic performance of a novel deep learning attenuation correction software for MPI using a cardio dedicated CZT camera. Experience in the clinical practice.

Revista espanola de medicina nuclear e imagen molecular Sep 23, 2023
PURPOSE: To evaluate the diagnostic performance of a novel deep learning attenuation correction software (DLACS) for myocardial perfusion imaging (MPI) using a cadmium-zinc-telluride (CZT) cardio dedicated camera with invasive coronary angiography (I...
Humans Retrospective Studies Aged Male Deep Learning Zinc Coronary Angiography Tellurium Coronary Artery Disease Cadmium Myocardial Perfusion Imaging
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The value of data and its applicability in the Health Sector.

Revista espanola de medicina nuclear e imagen molecular Dec 1, 2021
Currently news and/or articles on the use of Artificial Intelligence and the Big Data are flooding us and this situation has worsened with the pandemic, where great importance has been given to its use and the various applications in all sectors. Som...
Artificial Intelligence Pandemics Big Data
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Increasing the confidence of F-Florbetaben PET interpretations: Machine learning quantitative approximation.

Revista espanola de medicina nuclear e imagen molecular Apr 21, 2021
AIM: To assess the added value of semiquantitative parameters on the visual assessment and to study the patterns of F-Florbetaben brain deposition.
Humans Machine Learning Retrospective Studies Amyloid beta-Peptides Alzheimer Disease Aniline Compounds Positron-Emission Tomography Stilbenes
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Improved diagnostic accuracy for myocardial perfusion imaging using artificial neural networks on different input variables including clinical and quantification data.

Revista espanola de medicina nuclear e imagen molecular Aug 8, 2019
OBJECTIVE: Diagnostic accuracy of myocardial perfusion imaging (MPI) is not optimal to predict the result of angiography. The current study aimed at investigating the application of artificial neural network (ANN) to integrate the clinical data with ...
Humans Neural Networks, Computer Retrospective Studies Female Reproducibility of Results Male Coronary Angiography Coronary Artery Disease Myocardial Perfusion Imaging
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Artificial Intelligence and Nuclear Medicine. Today is already the future.

Revista espanola de medicina nuclear e imagen molecular Jan 1, 2022
Artificial Intelligence Forecasting Radionuclide Imaging Nuclear Medicine
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