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 …

Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2022: single photon emission computed tomography

WA AlJaroudi, FG Hage - Journal of Nuclear Cardiology, 2023 - Elsevier
In this review, we will summarize a selection of articles on single-photon emission computed
tomography published in the Journal of Nuclear Cardiology in 2022. The aim of this review …

[HTML][HTML] The incremental significance of heart rate recovery as a predictor during exercise-stress myocardial perfusion SPECT imaging in individuals with suspected …

S Yang, R Xi, BB Li, XC Wang, LW Song… - Frontiers in …, 2023 - frontiersin.org
Background Major adverse cardiac events (MACE) are more likely to occur when abnormal
heart rate recovery (HRR). This study aimed to assess the incremental predictive …

Interaction of impaired myocardial flow reserve and extent of myocardial ischemia assessed using 13N-ammonia positron emission tomography imaging on adverse …

S Miura, A Okizaki, H Kumamaru, O Manabe… - Journal of Nuclear …, 2023 - Elsevier
Background Myocardial flow reserve (MFR) and the extent of myocardial ischemia identify
patients at high risk of major adverse cardiovascular events (MACEs). Associations between …

Modifiable Predictors of Chronotropic Response to Exercise in People With and Without Classification Criteria for Obesity

R Scott - 2023 - search.proquest.com
Chronotropic response to exercise is the ability of the heart to increase in rate of contraction
in response to the rising metabolic demands throughout the body during graded exercise …