Using Artificial Intelligence to Optimize the Use of Cardiac Investigations in Patients With Suspected Coronary Artery Disease.
作者信息
Schwalm J D, Sheth Tej, Pinilla-Echeverri Natalia, Petch Jeremy
机构信息
Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.
Department of Medicine, Division of Cardiology, McMaster University, Hamilton, Ontario, Canada.
出版信息
J Soc Cardiovasc Angiogr Interv. 2024 Mar 26;3(3Part B):101305. doi: 10.1016/j.jscai.2024.101305. eCollection 2024 Mar.
Abstract
摘要
相似文献
1
Using Artificial Intelligence to Optimize the Use of Cardiac Investigations in Patients With Suspected Coronary Artery Disease.
J Soc Cardiovasc Angiogr Interv. 2024 Mar 26;3(3Part B):101305. doi: 10.1016/j.jscai.2024.101305. eCollection 2024 Mar.
2
Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease.
Eur Radiol. 2020 Nov;30(11):5841-5851. doi: 10.1007/s00330-020-06964-w. Epub 2020 May 28.
3
Radiogenomics and Artificial Intelligence Approaches Applied to Cardiac Computed Tomography Angiography and Cardiac Magnetic Resonance for Precision Medicine in Coronary Heart Disease: A Systematic Review.
Circ Cardiovasc Imaging. 2021 Dec;14(12):1133-1146. doi: 10.1161/CIRCIMAGING.121.013025. Epub 2021 Dec 17.
4
Prognostic capabilities of coronary computed tomographic angiography before non-cardiac surgery: prospective cohort study.
BMJ. 2015 Apr 22;350:h1907. doi: 10.1136/bmj.h1907.
5
Prediction of revascularization by coronary CT angiography using a machine learning ischemia risk score.
Eur Radiol. 2021 Mar;31(3):1227-1235. doi: 10.1007/s00330-020-07142-8. Epub 2020 Sep 3.
6
Basing on the machine learning model to analyse the coronary calcification score and the coronary flow reserve score to evaluate the degree of coronary artery stenosis.
Comput Biol Med. 2023 Sep;163:107130. doi: 10.1016/j.compbiomed.2023.107130. Epub 2023 Jun 2.
7
Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) to guide referral to invasive coronary angiography in the randomized controlled CONSERVE trial.
Clin Cardiol. 2023 May;46(5):477-483. doi: 10.1002/clc.23995. Epub 2023 Feb 27.
8
A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.
Eur Heart J. 2019 Nov 14;40(43):3529-3543. doi: 10.1093/eurheartj/ehz592.
9
Deep learning analysis in coronary computed tomographic angiography imaging for the assessment of patients with coronary artery stenosis.
Comput Methods Programs Biomed. 2020 Nov;196:105651. doi: 10.1016/j.cmpb.2020.105651. Epub 2020 Jul 9.
10
Validation of the commercial coronary computed tomographic angiography artificial intelligence for coronary artery stenosis: a cross-sectional study.
Quant Imaging Med Surg. 2023 Jun 1;13(6):3789-3801. doi: 10.21037/qims-22-1115. Epub 2023 Apr 12.
引用本文的文献
1
Artificial Intelligence in Coronary Artery Interventions: Preprocedural Planning and Procedural Assistance.
J Soc Cardiovasc Angiogr Interv. 2025 Mar 18;4(3Part B):102519. doi: 10.1016/j.jscai.2024.102519. eCollection 2025 Mar.
本文引用的文献
1
Centralized Triage of Suspected Coronary Artery Disease Using Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography.
CJC Open. 2022 Nov 19;5(2):148-157. doi: 10.1016/j.cjco.2022.10.009. eCollection 2023 Feb.
2
Implementation of an All-Day Artificial Intelligence-Based Triage System to Accelerate Door-to-Balloon Times.
Mayo Clin Proc. 2022 Dec;97(12):2291-2303. doi: 10.1016/j.mayocp.2022.05.014. Epub 2022 Nov 3.
3
A machine learning-based clinical decision support algorithm for reducing unnecessary coronary angiograms.
Cardiovasc Digit Health J. 2021 Dec 24;3(1):21-30. doi: 10.1016/j.cvdhj.2021.12.001. eCollection 2022 Feb.
4
2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines.
Circulation. 2021 Nov 30;144(22):e368-e454. doi: 10.1161/CIR.0000000000001029. Epub 2021 Oct 28.
5
6
Low diagnostic yield of elective coronary angiography.
N Engl J Med. 2010 Mar 11;362(10):886-95. doi: 10.1056/NEJMoa0907272.
Zotero 插件