Artificial intelligence electrocardiogram as a novel screening tool to detect a newly abnormal left ventricular ejection fraction after anthracycline-based cancer therapy
Open accessAbstract
Aims: Cardiotoxicity is a serious side effect of anthracycline treatment, most commonly manifesting as a reduction in left ventricular ejection fraction (EF). Early recognition and treatment have been advocated, but robust, convenient, and cost-effective alternatives to cardiac imaging are missing. Recent developments in artificial intelligence (AI) techniques applied to electrocardiograms (ECGs) may fill this gap, but no study so far has demonstrated its merit for the detection of an abnormal EF after anthracycline therapy. Methods and results: Single centre consecutive cohort study of all breast cancer patients with ECG and transthoracic echocardiography (TTE) evaluation before and after (neo)adjuvant anthracycline chemotherapy. Patients with HER2-directed therapy, metastatic disease, second primary malignancy, or pre-existing cardiovascular disease were excluded from the analyses as were patients with EF decline for reasons other than anthracycline-induced cardiotoxicity. Primary readout was the diagnostic performance of AI-ECG by area under the curve (AUC) for EFs < 50%. Of 989 consecutive female breast cancer patients, 22 developed a decline in EF attributed to anthracycline therapy over a follow-up time of 9.8 ± 4.2 years. After exclusion of patients who did not have ECGs within 90 days of a TTE, 20 cases and 683 controls remained. The AI-ECG model detected an EF < 50% and ≤ 35% after anthracycline therapy with an AUC of 0.93 and 0.94, respectively. Conclusion: These data support the use of AI-ECG for cardiotoxicity screening after anthracycline-based chemotherapy. This technology could serve as a gatekeeper to more costly cardiac imaging and could enable patients to monitor themselves over long periods of time.
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In cardio-oncology, AI-ECG has shown promise for detecting newly abnormal LVEF after anthracycline therapy.
“in cardio-oncology, AI-ECG has shown promise for detecting newly abnormal LVEF after anthracycline therapy.18”
From AI-ECG for Echocardiography Triage in Structural Heart Disease: Evidence, Implementation, and Future Directions (2026) · cites this paper as [18]
Emerging evidence supports longitudinal risk tracking in aortic stenosis and surveillance for treatment-related left ventricular dysfunction in cardio-oncology.
“with emerging evidence supporting longitudinal risk tracking in aortic stenosis23 and surveillance for treatment-related left ventricular dysfunction in cardio-oncology.18”
From AI-ECG for Echocardiography Triage in Structural Heart Disease: Evidence, Implementation, and Future Directions (2026) · cites this paper as [18]
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Research works printed but not linked: 21
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Cited by
Sorted by citations
Tang, Q., Deng, K., Cui, Y., Liu, H., & Qian, B. (2026) · International Journal of General Medicine · doi:10.2147/ijgm.s610298
- Authors
- Jacobs, J. E. J., Greason, G., Mangold, K. E., Wildiers, H., Willems, R., Janssens, S., Noseworthy, P., Lopez-Jimenez, F., Voigt, J.-U., Friedman, P., Van Aelst, L., Vandenberk, B., Attia, Z. I., & Herrmann, J.
- Affiliations
- Mayo Clinic (US)
- Universitair Ziekenhuis Leuven (BE)
- KU Leuven (BE)
- Department of Cardiovascular Medicine, Mayo Clinic , 200 First St. SW, Rochester, MN 55905 , USA
- Department of Cardiovascular Sciences, KU Leuven , Leuven , Belgium
- Corresponding author
- Herrmann, Joerg
- ORCID
- Venue
- European Journal of Preventive Cardiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-11-07
- Volume
- 31
- Issue
- 5
- Pages
- 560-566
- ISSN
- 2047-4873 (ISSN-L)
- 2047-4881
- PMC
- PMC10972628
- OpenAlex
- W4388515883
- Cited by
- 49
- References
- 0
- Citations by year
- 2026: 19 · 2025: 21 · 2024: 8 · 2023: 1
- FWCI
- 9.64
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- European Journal of Preventive Cardiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Lirias (submittedVersion, other-oa)
- Funders
- Belgian American Education Foundation
- National Institutes of Health
- National Cancer Institute (R01CA233610)
- Miami Heart Research Institute
- Mayo Center for Biomedical Discovery
- Department of Cardiovascular Diseases
- Research Foundation Flanders
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Chemotherapy-induced cardiotoxicity and mitigation
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
- Keywords
- anthracycline cardiotoxicity, left ventricular ejection fraction, cardiotoxicity screening, breast cancer, anthracycline chemotherapy, transthoracic echocardiography, early detection of cardiac dysfunction
- MeSH terms
- Antibiotics, Antineoplastic, Artificial Intelligence, Breast Neoplasms, Electrocardiography, Female, Humans, Stroke Volume, Cohort Studies, Ventricular Function, Left, Anthracyclines, Early Detection of Cancer, Cardiotoxicity
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