Commentary: AI-based preeclampsia detection and prediction with electrocardiogram data
- PMID: 39139750
- PMCID: PMC11319159
- DOI: 10.3389/fcvm.2024.1437369
Commentary: AI-based preeclampsia detection and prediction with electrocardiogram data
Keywords: artificial-intelligence; blood pressure; cardiac output; electrocardiogram; fetal growth restriction; gestational cardiovascular adaptation; preeclampsia.
Conflict of interest statement
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Comment on
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AI-based preeclampsia detection and prediction with electrocardiogram data.Front Cardiovasc Med. 2024 Mar 4;11:1360238. doi: 10.3389/fcvm.2024.1360238. eCollection 2024. Front Cardiovasc Med. 2024. PMID: 38500752 Free PMC article.
References
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- Reijnders IF, Mulders AGM, Koster MPH, Kropman A, Koning A, Willemsen SP, et al. First-trimester maternal haemodynamic adaptation to pregnancy and placental, embryonic and fetal development: the prospective observational Rotterdam periconception cohort. BJOG. (2022) 129:785–95. 10.1111/1471-0528.16979 - DOI - PMC - PubMed
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