Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries
出版年份 2023 全文链接
标题
Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries
作者
关键词
-
出版物
Nature Reviews Cardiology
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2023-07-19
DOI
10.1038/s41569-023-00900-3
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Machine Learning Assessment of CAD
- (2023) Edward D. Nicol JACC-Cardiovascular Imaging
- Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a Consensus Statement from the Quantitative Cardiovascular Imaging Study Group
- (2023) Aldo J. Vázquez Mézquita et al. Nature Reviews Cardiology
- A Coronary CT Angiography Radiomics Model to Identify Vulnerable Plaque and Predict Cardiovascular Events
- (2023) Qian Chen et al. RADIOLOGY
- Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography Angiography
- (2022) Andrew Lin et al. JACC-Cardiovascular Imaging
- Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
- (2022) Baptiste Vasey et al. NATURE MEDICINE
- CT or Invasive Coronary Angiography in Stable Chest Pain
- (2022) et al. NEW ENGLAND JOURNAL OF MEDICINE
- Active multitask learning with uncertainty‐weighted loss for coronary calcium scoring
- (2022) Bernhard Föllmer et al. MEDICAL PHYSICS
- Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms
- (2022) Mélanie Bernhardt et al. NATURE MEDICINE
- Plaque Burden and 1-Year Outcomes in Acute Chest Pain
- (2022) Mohammed N. Meah et al. JACC-Cardiovascular Imaging
- CAD-RADS™ 2.0 - 2022 Coronary Artery Disease – Reporting and Data System an expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR) and the North America society of cardiovascular imaging (NASCI)
- (2022) Ricardo C. Cury et al. Journal of Cardiovascular Computed Tomography
- Great debates in cardiac computed tomography: OPINION: “Artificial intelligence and the future of cardiovascular CT – Managing expectation and challenging hype”
- (2022) Edward D. Nicol et al. Journal of Cardiovascular Computed Tomography
- Interobserver variability among expert readers quantifying plaque volume and plaque characteristics on coronary CT angiography: a CLARIFY trial sub-study
- (2022) Rebecca A. Jonas et al. CLINICAL IMAGING
- TCT-312 International OCT Core Labs Can Identify Stable but Not Unstable Coronary Plaque
- (2022) Aleksandra Gruslova et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Evolving concepts of the vulnerable atherosclerotic plaque and the vulnerable patient: implications for patient care and future research
- (2022) Prakriti Gaba et al. Nature Reviews Cardiology
- Race Correction and the X-Ray Machine — The Controversy over Increased Radiation Doses for Black Americans in 1968
- (2022) Itai Bavli et al. NEW ENGLAND JOURNAL OF MEDICINE
- Automated diagnosis of optical coherence tomography imaging on plaque vulnerability and its relation to clinical outcomes in coronary artery disease
- (2022) Hirohiko Niioka et al. Scientific Reports
- Randomized Clinical Trials of Machine Learning Interventions in Health Care
- (2022) Deborah Plana et al. JAMA Network Open
- Automated analysis of fibrous cap in intravascular optical coherence tomography images of coronary arteries
- (2022) Juhwan Lee et al. Scientific Reports
- Deep learning-based detection of functionally significant stenosis in coronary CT angiography
- (2022) Nils Hampe et al. Frontiers in Cardiovascular Medicine
- Machine Learning and the Future of Cardiovascular Care
- (2021) Giorgio Quer et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Virtual Transcriptomics
- (2021) Andrew J. Buckler et al. ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY
- Applications of artificial intelligence in cardiovascular imaging
- (2021) Maxime Sermesant et al. Nature Reviews Cardiology
- Intravascular ultrasound-based deep learning for plaque characterization in coronary artery disease
- (2021) Hyungjoo Cho et al. ATHEROSCLEROSIS
- Learning-based algorithms for vessel tracking: A review
- (2021) Dengqiang Jia et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Machine-learning with 18F-sodium fluoride PET and quantitative plaque analysis on CT angiography for the future risk of myocardial infarction
- (2021) Jacek Kwiecinski et al. JOURNAL OF NUCLEAR MEDICINE
- How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals
- (2021) Eric Wu et al. NATURE MEDICINE
- Artificial intelligence and optical coherence tomography for the automatic characterisation of human atherosclerotic plaques
- (2021) Miao Chu et al. EuroIntervention
- Thin-cap fibroatheroma predicts clinical events in diabetic patients with normal fractional flow reserve: the COMBINE OCT–FFR trial
- (2021) Elvin Kedhi et al. EUROPEAN HEART JOURNAL
- Optical Coherence Tomography of Plaque Vulnerability and Rupture
- (2021) Aaron D. Aguirre et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
- (2021) Viknesh Sounderajah et al. BMJ Open
- Quantitative assessment of atherosclerotic plaque, recent progress and current limitations
- (2021) Michelle C. Williams et al. Journal of Cardiovascular Computed Tomography
- Automatic Classification of A-Lines in Intravascular OCT Images Using Deep Learning and Estimation of Attenuation Coefficients
- (2021) Grigorios-Aris Cheimariotis et al. Applied Sciences-Basel
- Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
- (2021) Laleh Seyyed-Kalantari et al. NATURE MEDICINE
- Histopathology-Based Deep-Learning Predicts Atherosclerotic Lesions in Intravascular Imaging
- (2021) Olle Holmberg et al. Frontiers in Cardiovascular Medicine
- Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review
- (2021) Qian Zhou et al. npj Digital Medicine
- Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia
- (2020) Marc Dewey et al. Nature Reviews Cardiology
- Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols
- (2020) Sanne G. M. van Velzen et al. RADIOLOGY
- Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features
- (2020) Juhwan Lee et al. Scientific Reports
- Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction
- (2020) Michelle C. Williams et al. CIRCULATION
- 2-Year Outcomes After Stenting of Lipid-Rich and Nonrich Coronary Plaques
- (2020) Myong Hwa Yamamoto et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- CAD-RADS: Pushing the Limits
- (2020) Arzu Canan et al. RADIOGRAPHICS
- A Boosted Ensemble Algorithm for Determination of Plaque Stability in High-Risk Patients on Coronary CTA
- (2020) Subhi J. Al’Aref et al. JACC-Cardiovascular Imaging
- Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
- (2020) Xiaoxuan Liu et al. NATURE MEDICINE
- Detection of optical coherence tomography-defined thin-cap fibroatheroma in the coronary artery using deep learning
- (2020) Hyun-Seok Min et al. EuroIntervention
- Cardiac computed tomography radiomics: an emerging tool for the non-invasive assessment of coronary atherosclerosis
- (2020) Alessandro Murgia et al. Cardiovascular Diagnosis and Therapy
- CT Angiographic and Plaque Predictors of Functionally Significant Coronary Disease and Outcome Using Machine Learning
- (2020) Seokhun Yang et al. JACC-Cardiovascular Imaging
- Coronary Artery Plaque Characteristics Associated With Adverse Outcomes in the SCOT-HEART Study
- (2019) Michelle C. Williams et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Artificial Intelligence in Cardiovascular Imaging
- (2019) Damini Dey et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Standardized volumetric plaque quantification and characterization from coronary CT angiography: a head-to-head comparison with invasive intravascular ultrasound
- (2019) Hidenari Matsumoto et al. EUROPEAN RADIOLOGY
- Relationship between coronary plaque morphology of the left anterior descending artery and 12 months clinical outcome: the CLIMA study
- (2019) Francesco Prati et al. EUROPEAN HEART JOURNAL
- From Detecting the Vulnerable Plaque to Managing the Vulnerable Patient
- (2019) Armin Arbab-Zadeh et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- State-of-the-Art Deep Learning in Cardiovascular Image Analysis
- (2019) Geert Litjens et al. JACC-Cardiovascular Imaging
- Dissecting racial bias in an algorithm used to manage the health of populations
- (2019) Ziad Obermeyer et al. SCIENCE
- Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic images
- (2019) Juhwan Lee et al. Biomedical Optics Express
- Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve
- (2018) Adriaan Coenen et al. Circulation-Cardiovascular Imaging
- Temporal course of vascular healing and neoatherosclerosis after implantation of durable- or biodegradable-polymer drug-eluting stents
- (2018) Giulio Guagliumi et al. EUROPEAN HEART JOURNAL
- OUP accepted manuscript
- (2018) EUROPEAN HEART JOURNAL
- Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study
- (2018) Damini Dey et al. EUROPEAN RADIOLOGY
- Machine learning in cardiovascular medicine: are we there yet?
- (2018) Khader Shameer et al. HEART
- Coronary Atherosclerotic Precursors of Acute Coronary Syndromes
- (2018) Hyuk-Jae Chang et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Use of High-Risk Coronary Atherosclerotic Plaque Detection for Risk Stratification of Patients With Stable Chest Pain
- (2018) Maros Ferencik et al. JAMA Cardiology
- Machine Learning and Health Care Disparities in Dermatology
- (2018) Adewole S. Adamson et al. JAMA Dermatology
- Coronary CT angiography–derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia
- (2018) Philipp L. von Knebel Doeberitz et al. EUROPEAN RADIOLOGY
- Automated detection of vulnerable plaque in intravascular ultrasound images
- (2018) Tae Joon Jun et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Changes in Coronary Plaque Composition in Patients With Acute Myocardial Infarction Treated With High-Intensity Statin Therapy (IBIS-4)
- (2018) Lorenz Räber et al. JACC-Cardiovascular Imaging
- Intravascular imaging in coronary artery disease
- (2017) Gary S Mintz et al. LANCET
- IVUS-Guided Versus OCT-Guided Coronary Stent Implantation
- (2017) Akiko Maehara et al. JACC-Cardiovascular Imaging
- Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks
- (2016) Jelmer M. Wolterink et al. MEDICAL IMAGE ANALYSIS
- The Myth of the “Vulnerable Plaque”
- (2015) Armin Arbab-Zadeh et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Plaque Characterization by Coronary Computed Tomography Angiography and the Likelihood of Acute Coronary Events in Mid-Term Follow-Up
- (2015) Sadako Motoyama et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Automated Quantitative Plaque Burden from Coronary CT Angiography Noninvasively Predicts Hemodynamic Significance by using Fractional Flow Reserve in Intermediate Coronary Lesions
- (2015) Mariana Diaz-Zamudio et al. RADIOLOGY
- Computed tomography-based high-risk coronary plaque score to predict acute coronary syndrome among patients with acute chest pain – Results from the ROMICAT II trial
- (2015) Maros Ferencik et al. Journal of Cardiovascular Computed Tomography
- In vivo detection of high-risk coronary plaques by radiofrequency intravascular ultrasound and cardiovascular outcome: results of the ATHEROREMO-IVUS study
- (2013) Jin M. Cheng et al. EUROPEAN HEART JOURNAL
- 18F-fluoride positron emission tomography for identification of ruptured and high-risk coronary atherosclerotic plaques: a prospective clinical trial
- (2013) Nikhil V Joshi et al. LANCET
- A Prospective Natural-History Study of Coronary Atherosclerosis
- (2011) Gregg W. Stone et al. NEW ENGLAND JOURNAL OF MEDICINE
- Association Between IVUS Findings and Adverse Outcomes in Patients With Coronary Artery Disease
- (2011) Patrick A. Calvert et al. JACC-Cardiovascular Imaging
- Concept of Vulnerable/Unstable Plaque
- (2010) Aloke V. Finn et al. ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY
- Fully automatic three-dimensional quantitative analysis of intracoronary optical coherence tomography
- (2009) Kenji Sihan et al. CATHETERIZATION AND CARDIOVASCULAR INTERVENTIONS
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