Generative AI Virtual Contrast for Cardiovascular Magnetic Resonance: A Pathway to Needle-Free and Fast Imaging of Myocardial Infarction? DOI
W. Y. Fok, Qiang Zhang

Circulation Cardiovascular Imaging, Journal Year: 2024, Volume and Issue: 17(9)

Published: Sept. 1, 2024

Language: Английский

Society for Cardiovascular Magnetic Resonance recommendations toward environmentally sustainable cardiovascular magnetic resonance DOI Creative Commons
Kate Hanneman, Eugenio Picaño, Adrienne Campbell‐Washburn

et al.

Journal of Cardiovascular Magnetic Resonance, Journal Year: 2025, Volume and Issue: unknown, P. 101840 - 101840

Published: Jan. 1, 2025

Language: Английский

Citations

3

Artificial Intelligence in Coronary Artery Interventions: Preprocedural Planning and Procedural Assistance DOI Creative Commons

Saurabhi Samant,

Anastasios Panagopoulos,

Wei Wu

et al.

Journal of the Society for Cardiovascular Angiography & Interventions, Journal Year: 2025, Volume and Issue: 4(3), P. 102519 - 102519

Published: March 1, 2025

Artificial intelligence (AI) has profoundly influenced the field of cardiovascular interventions and coronary artery procedures in particular. AI enhanced diagnostic accuracy disease through advanced invasive noninvasive imaging modalities, facilitating more precise diagnosis personalized interventional strategies. integration streamlined procedural workflows, improved accuracy, increased clinician efficiency, patient safety outcomes. Despite its potential, still faces significant challenges, including concerns regarding algorithmic biases, lack transparency AI-driven decision making, ethical challenges. This review explores latest advancements applications interventions, focusing on preprocedural planning real-time guidance. It also addresses major limitations obstacles that hinder widespread clinical adoption technologies this field.

Language: Английский

Citations

2

Applications of Artificial Intelligence for the Prediction and Diagnosis of Cancer Therapy-Related Cardiac Dysfunction in Oncology Patients DOI Open Access
Isabel G. Scalia, Girish Pathangey, Mahmoud Abdelnabi

et al.

Cancers, Journal Year: 2025, Volume and Issue: 17(4), P. 605 - 605

Published: Feb. 11, 2025

Cardiovascular diseases and cancer are the leading causes of morbidity mortality in modern society. Expanding therapies that have improved prognosis may also be associated with cardiotoxicity, extended life span after survivorship is increasing prevalence cardiovascular disease. As such, field cardio-oncology has been rapidly expanding, an aim to identify cardiotoxicity cardiac disease early a patient who receiving treatment for or survivorship. Artificial intelligence revolutionizing medicine its ability early. This article comprehensively reviews applications artificial specifically applied electrocardiograms, echocardiography, magnetic resonance imaging, nuclear imaging predict toxicity setting therapies, view reduce complications side effects from such as chemotherapy, radiation therapy, immunotherapy.

Language: Английский

Citations

1

Cardiovascular magnetic resonance worldwide: A global commitment to cardiovascular care DOI Creative Commons

Carlos E Rochitte

Journal of Cardiovascular Magnetic Resonance, Journal Year: 2025, Volume and Issue: unknown, P. 101842 - 101842

Published: Jan. 1, 2025

Citations

0

An Intelligent Ensemble EfficientNet Prediction System for interpretations of cardiac magnetic resonance images in heart failure severity diagnosis DOI Creative Commons

Muthulakshmi Muthunayagam,

Venkatesan Kotteswaran,

Prasanalakshmi Balaji

et al.

Intelligence-Based Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 100218 - 100218

Published: Feb. 1, 2025

Language: Английский

Citations

0

Highlights of the Cardiovascular Magnetic Resonance 2024 Conference: the first joint European Association of Cardiovascular Imaging, European Society of Cardiovascular Radiology, and Society for Cardiovascular Magnetic Resonance conference DOI Creative Commons
Jadranka Stojanovska, Robin Nijveldt, Karen Ordovás

et al.

European Heart Journal - Cardiovascular Imaging, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

Abstract Cardiovascular Magnetic Resonance 2024 Conference (CMR2024) convened in London, UK, from 24 to 26 January and brought together 2705 learners renowned cardiac imaging professionals discuss learn about the latest advancements. Organized by Society for (SCMR) European Association of Imaging (EACVI), collaboration with Radiology (ESCR), CMR2024 was largest international magnetic resonance conference date. This underscored between cardiologists, radiologists, scientists, technologists bringing three major societies—SCMR, EACVI, ESCR. Innovative session formats like ‘Shark Tank’ ‘Workflow, Innovations & Patients’ facilitated expert opinion practical experiences sharing a ‘TED-talk style’. With over 1168 abstract submissions 75% acceptance rate, programme featured multiple Early Career Award sessions, oral scientific case rapid-fire all categorized topic. Highlights included patient- physician-centred referring physicians’ patients’ insights incremental value cardiovascular (CMR) patient’s management. The offered invited lectures eight parallel tracks plenary two keynote speakers. In addition, interactive workshops panel discussions provided platform knowledge exchange, support, collaboration. A great emphasis placed on technologists, showcasing an ideal marriage as model enhanced patient care around globe. event also exhibitions CMR technology software, offering attendees glimpse into future imaging. emerged remarkable scientific, educational, networking event, inspiring collaborate within global community.

Language: Английский

Citations

0

Reconstruction Techniques for Accelerating Dynamic Cardiac MRI DOI Creative Commons
Andrew Phair, René M. Botnar, Claudia Prieto

et al.

Journal of Cardiovascular Magnetic Resonance, Journal Year: 2025, Volume and Issue: unknown, P. 101873 - 101873

Published: March 1, 2025

Achieving sufficient spatial and temporal resolution for dynamic applications in cardiac MRI is a challenging task due to the inherently slow nature of MR imaging. In order accelerate scans allow improved resolution, much research over past three decades has been aimed at developing innovative reconstruction methods that can yield high-quality images from reduced amounts k-space data. this review, we describe evolution these techniques, with particular focus on those advances have shifted paradigm as it relates MRI. This review discusses explains fundamental ideas behind success modern algorithms, including parallel imaging, spatio-temporal redundancies, compressed sensing, low-rank machine learning.

Language: Английский

Citations

0

Expert consensus document on artificial intelligence of the Italian Society of Cardiology DOI
Ciro Indolfi, Elisabetta Salvioni, Francesco Barillà

et al.

Journal of Cardiovascular Medicine, Journal Year: 2025, Volume and Issue: 26(5), P. 200 - 215

Published: March 28, 2025

Artificial intelligence (AI), a branch of computer science focused on developing algorithms that replicate intelligent behaviour, has recently been used in patients management by enhancing diagnostic and prognostic capabilities various resources such as hospital datasets, electrocardiograms echocardiographic acquisitions. Machine learning (ML) deep (DL) models, both key subsets AI, have demonstrated robust applications across several cardiovascular diseases, from the most diffuse like hypertension ischemic heart disease to rare infiltrative cardiomyopathies, well estimation LDL cholesterol which can be achieved with better accuracy through AI. Additional emerging are encountered when unsupervised ML methodology shows promising results identifying distinct clusters or phenotypes atrial fibrillation may different risks stroke response therapy. Interestingly, since techniques do not analyse possibility specific pathology occur but rather trajectory each subject chain events lead occurrence pathologies, it considered DL, resembling complexity human brain using artificial neural networks, might support clinical processing large amounts complex information; however, external validity cannot taken for granted, while interpretability an issue, also known “black box” problem. Notwithstanding these considerations, facilities governments willing unlock potential AI order reach final step healthcare advancements ensuring patient safety equity preserved.

Language: Английский

Citations

0

Highlights of the Cardiovascular Magnetic Resonance 2024 Conference: the first joint European Association of Cardiovascular Imaging, European Society of Cardiovascular Radiology, and Society for Cardiovascular Magnetic Resonance conference DOI Creative Commons
Jadranka Stojanovska, Robin Nijveldt, Karen Ordovás

et al.

Journal of Cardiovascular Magnetic Resonance, Journal Year: 2025, Volume and Issue: unknown, P. 101848 - 101848

Published: Feb. 1, 2025

Cardiovascular Magnetic Resonance 2024 Conference (CMR2024) convened in London, UK, from 24 to 26 January and brought together 2705 learners renowned cardiac imaging professionals discuss learn about the latest advancements. Organized by Society for (SCMR) European Association of Imaging (EACVI), collaboration with Radiology (ESCR), CMR2024 was largest international magnetic resonance conference date. This underscored between cardiologists, radiologists, scientists, technologists bringing three major societies-SCMR, EACVI, ESCR. Innovative session formats like 'Shark Tank' 'Workflow, Innovations & Patients' facilitated expert opinion practical experiences sharing a 'TED-talk style'. With over 1168 abstract submissions 75% acceptance rate, programme featured multiple Early Career Award sessions, oral scientific case rapid-fire all categorized topic. Highlights included patient- physician-centred referring physicians' patients' insights incremental value cardiovascular (CMR) patient's management. The offered invited lectures eight parallel tracks plenary two keynote speakers. In addition, interactive workshops panel discussions provided platform knowledge exchange, support, collaboration. A great emphasis placed on technologists, showcasing an ideal marriage as model enhanced patient care around globe. event also exhibitions CMR technology software, offering attendees glimpse into future imaging. emerged remarkable scientific, educational, networking event, in-spiring collaborate within global community.

Language: Английский

Citations

0

DGK-Empfehlung: Herz-MRT-Untersuchungen bei Patienten mit Herzschrittmachern und implantierbaren Kardioverter-Defibrillatoren DOI
Ali Yılmaz, Nina Becher,

Christian Mahnkopf

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

Citations

0