Artificial intelligence for disease diagnosis and risk prediction in nuclear cardiology
RJH Miller, C Huang, JX Liang, PJ Slomka - Journal of Nuclear Cardiology, 2022 - Elsevier
Artificial intelligence (AI) techniques have emerged as a highly efficient approach to
accurately and rapidly interpret diagnostic imaging and may play a vital role in nuclear …
accurately and rapidly interpret diagnostic imaging and may play a vital role in nuclear …
[HTML][HTML] Visually estimated coronary artery calcium score improves SPECT-MPI risk stratification
C Trpkov, A Savtchenko, Z Liang, P Feng… - IJC Heart & …, 2021 - Elsevier
Aims Computed tomographic attenuation correction (CTAC) scans for single photon
emission computed tomography myocardial perfusion imaging (SPECT-MPI) may reveal …
emission computed tomography myocardial perfusion imaging (SPECT-MPI) may reveal …
[HTML][HTML] Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging
Purpose Patients with known coronary artery disease (CAD) comprise a heterogenous
population with varied clinical and imaging characteristics. Unsupervised machine learning …
population with varied clinical and imaging characteristics. Unsupervised machine learning …
[HTML][HTML] Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography
Chest computed tomography is one of the most common diagnostic tests, with 15 million
scans performed annually in the United States. Coronary calcium can be visualized on these …
scans performed annually in the United States. Coronary calcium can be visualized on these …
Direct risk assessment from myocardial perfusion imaging using explainable deep learning
Background Myocardial perfusion imaging (MPI) is frequently used to provide risk
stratification, but methods to improve the accuracy of these predictions are needed …
stratification, but methods to improve the accuracy of these predictions are needed …
[HTML][HTML] Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study
Background Myocardial perfusion imaging (MPI) is one of the most common cardiac scans
and is used for diagnosis of coronary artery disease and assessment of cardiovascular risk …
and is used for diagnosis of coronary artery disease and assessment of cardiovascular risk …
Artificial Intelligence Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing Myocardial Perfusion Imaging
Heart failure (HF) is a leading cause of morbidity and mortality in the United States and
worldwide, with a high associated economic burden. This study aimed to assess whether …
worldwide, with a high associated economic burden. This study aimed to assess whether …
[HTML][HTML] Spherization indices measured by resting SPECT improve risk stratification in patients with ischemia with non-obstructive coronary artery disease (INOCA)
Y Zhao, Y Hu, Y Li, Y Wang, Y Xiao, L Xu, T Ren, Q Wu… - EJNMMI research, 2024 - Springer
Background The prevalence of ischemia with non-obstructive coronary artery disease
(INOCA) is substantial, but its risk stratification has been suboptimal. Resting SPECT …
(INOCA) is substantial, but its risk stratification has been suboptimal. Resting SPECT …
[PDF][PDF] Unsupervised learning tocharacterize patients withknown coronary artery disease undergoing myocardial perfusion imaging
AJ Einstein, AJ Sinusas, EJ Miller, TM Bateman… - 2023 - core.ac.uk
Purpose Patients with known coronary artery disease (CAD) comprise a heterogenous
population with varied clinical and imaging characteristics. Unsupervised machine learning …
population with varied clinical and imaging characteristics. Unsupervised machine learning …
[HTML][HTML] Nuclear cardiac imaging between implementation and globalization: The key role of integration
It has now been 5 years since we had the privilege of writing our first annual Editor Page.
Since then, many things have changed in the world of science, from diagnostics and …
Since then, many things have changed in the world of science, from diagnostics and …