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AI-Enabled Electrocardiography for Screening and Diagnosis of Peripartum Cardiomyopathy: A Mini Review
Authors
1 Medicine Department, GMERS Medical College Navsari, India. 2 Internal Medicine Department, Henry Ford Rochester Hospital/Wayne State University, USA. 3 Cardiology Department, Henry Ford Rochester Hospital/Wayne State University, USA.
Article Information
- DOI
- No Doi
- Published In
- Year 2026 · Volume 1 · Issue 2
- Published Online
- May-August 2026
- Pages
- 01-05
- Article Type
- Review Article
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References
[1]. Adedinsewo DA, Morales-Lara AC, Afolabi BB, Kushimo OA, Mbakwem AC, Ibiyemi KF, et al. Artificial intelligence guided screening
for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial. Nat Med. 2024 Oct;30(10):2897-2906.
doi:10.1038/s41591-024-03243-9. PMID:39223284. PMCID:PMC11485252.
[2]. Cho Y, Yoon M, Kim J, Lee JH, Oh IY, Lee CJ, et al. Artificial intelligence-based electrocardiographic biomarker for outcome prediction
in patients with acute heart failure: prospective cohort study. J Med Internet Res. 2024 Jul 3;26:e52139. doi:10.2196/52139.
PMID:38959500. PMCID:PMC11255523.
[3]. Bachtiger P, Petri CF, Scott FE, Park SR, Kelshiker MA, Sahemey HK, et al. Point-of-care screening for heart failure with reduced ejection
fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational,
multicentre study. Lancet Digit Health. 2022 Feb;4(2):e117-e125. doi:10.1016/S2589-7500(21)00256-9. PMID:34998740.
PMCID:PMC8789562.
[4]. Rushlow DR, Croghan IT, Inselman JW, Thacher TD, Friedman PA, Yao X, et al. Clinician adoption of an artificial intelligence algorithm
to detect left ventricular systolic dysfunction in primary care. Mayo Clin Proc. 2022 Nov;97(11):2076-2085.
doi:10.1016/j.mayocp.2022.04.008. PMID:36333015.
for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial. Nat Med. 2024 Oct;30(10):2897-2906.
doi:10.1038/s41591-024-03243-9. PMID:39223284. PMCID:PMC11485252.
[2]. Cho Y, Yoon M, Kim J, Lee JH, Oh IY, Lee CJ, et al. Artificial intelligence-based electrocardiographic biomarker for outcome prediction
in patients with acute heart failure: prospective cohort study. J Med Internet Res. 2024 Jul 3;26:e52139. doi:10.2196/52139.
PMID:38959500. PMCID:PMC11255523.
[3]. Bachtiger P, Petri CF, Scott FE, Park SR, Kelshiker MA, Sahemey HK, et al. Point-of-care screening for heart failure with reduced ejection
fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational,
multicentre study. Lancet Digit Health. 2022 Feb;4(2):e117-e125. doi:10.1016/S2589-7500(21)00256-9. PMID:34998740.
PMCID:PMC8789562.
[4]. Rushlow DR, Croghan IT, Inselman JW, Thacher TD, Friedman PA, Yao X, et al. Clinician adoption of an artificial intelligence algorithm
to detect left ventricular systolic dysfunction in primary care. Mayo Clin Proc. 2022 Nov;97(11):2076-2085.
doi:10.1016/j.mayocp.2022.04.008. PMID:36333015.
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