ArticleAmerican heart journal plus : cardiology research and practice2022
Artificial intelligence and imaging: Opportunities in cardio-oncology.
Article in American heart journal plus : cardiology research and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Application of Artificial Intelligence in Cardio-Oncology Imaging for Cancer Therapy-Related Cardiovascular Toxicity: Systematic Review.JMIR cancer · 2025Pooled it
- Application of Artificial Intelligence in Cardio-Oncology Imaging for Cancer Therapy-Related Cardiovascular Toxicity: Systematic Review.JMIR cancer · 2025Pooled it
- Multisequence cardiac MRI tissue characterization of cardiac masses: a retrospective cohort study.The international journal of cardiovascular imaging · 2026Article
- Cardiovascular Imaging for the Early Detection of Cardiotoxicity from Emerging Cancer Therapies: Mechanistic Insights Across the Pediatric and Adult Spectrum.Journal of personalized medicine · 2026Review
- Precision Cardio-Oncology and Nuclear Imaging: Current Applications, Molecular Innovations, and Future Trajectories.Cancers · 2026Review
- Cardiotoxicity of Antitumor Agents: Therapeutic Challenges in Heart Failure with Reduced and Preserved Ejection Fraction.International journal of molecular sciences · 2026Review
- AI-Enabled Precision Echocardiography: Toward Personalized Cardiovascular Care.Diagnostics (Basel, Switzerland) · 2026Review
- Artificial Intelligence and the Expanding Universe of Cardio-Oncology: Beyond Detection Toward Prediction and Prevention of Therapy-Related Cardiotoxicity-A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2026Review
- Cardio-oncology in multidisciplinary synergy: addressing the rising burden of cancer therapy-related cardiovascular toxicity (CTR-CVT) in advancing oncology practices.Oncology reviews · 2026Review
- Applications, challenges and future directions of artificial intelligence in cardio-oncology.European journal of clinical investigation · 2025Review
- AI and Smart Devices in Cardio-Oncology: Advancements in Cardiotoxicity Prediction and Cardiovascular Monitoring.Diagnostics (Basel, Switzerland) · 2025Review
- Review
- Current strategies for prevention of cancer therapy-related cardiotoxicity: pharmacological, non-pharmacological and emerging approaches.Frontiers in cardiovascular medicine · 2025Review
- Cancer Development and Progression in Patients with Heart Failure.Current heart failure reports · 2024Review
- Artificial intelligence: Applications in cardio-oncology and potential impact on racial disparities.American heart journal plus : cardiology research and practice · 2024Article
- Multimodality Imaging in the Diagnostic Work-Up of Patients With Cardiac Masses:JACC. CardioOncology · 2024Review
- Using machine learning in pediatric cardio-oncology: we have the questions, we need the answers.Cardio-oncology (London, England) · 2024Article
- Diagnostic challenges from conflicting results of tests and imaging.World journal of clinical cases · 2024Article
- Technological Advances in SPECT and SPECT/CT Imaging.Diagnostics (Basel, Switzerland) · 2024Review
- Chemotherapy Related Cardiotoxicity Evaluation-A Contemporary Review with a Focus on Cardiac Imaging.Journal of clinical medicine · 2024Review
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Cardiovascular disease is a leading cause of death in cancer survivors. It is critical to apply new predictive and early diagnostic methods in this population, as this can potentially inform cardiovascular treatment and surveillance decision-making. We discuss the application of artificial intelligence (AI) technologies to cardiovascular imaging in cardio-oncology, with a particular emphasis on prevention and targeted treatment of a variety of cardiovascular conditions in cancer patients. Recently, the use of AI-augmented cardiac imaging in cardio-oncology is gaining traction. A large proportion of cardio-oncology patients are screened and followed using left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS), currently obtained using echocardiography. This use will continue to increase with new cardiotoxic cancer treatments. AI is being tested to increase precision, throughput, and accuracy of LVEF and GLS, guide point-of-care image acquisition, and integrate imaging and clinical data to optimize the prediction and detection of cardiac dysfunction. The application of AI to cardiovascular magnetic resonance imaging (CMR), computed tomography (CT; especially coronary artery calcium or CAC scans), single proton emission computed tomography (SPECT) and positron emission tomography (PET) imaging acquisition is also in early stages of analysis for prediction and assessment of cardiac tumors and cardiovascular adverse events in patients treated for childhood or adult cancer. The opportunities for application of AI in cardio-oncology imaging are promising, and if availed, will improve clinical practice and benefit patient care.
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