Artificial Intelligence Tools for Preconception Cardiomyopathy Screening Among Women of Reproductive Age
We found these AI tools to be effective for the detection of cardiomyopathy associated with LVSD among women of reproductive age. These tools could potentially be useful for preconception cardiovascular evaluations.
Authors
- Anja Kinaszczuk
- Demilade Adedinsewo (ORCID: https://orcid.org/0000-0002-8629-2029)
- Paul A. Friedman (ORCID: https://orcid.org/0000-0001-5052-2948)
- Rickey E. Carter (ORCID: https://orcid.org/0000-0002-0818-273X)
- Francisco Lopez‐Jimenez
- Ifeloluwa Olutola
- Peter A. Noseworthy (ORCID: https://orcid.org/0000-0002-4308-0456)
- Zachi Itzhak Attia (ORCID: https://orcid.org/0000-0002-9706-7900)
- Andrea Carolina Morales-Lara (ORCID: https://orcid.org/0000-0002-3672-1809)
- Mikolaj A. Wieczorek (ORCID: https://orcid.org/0000-0002-7879-9727)
- Patrick W. Johnson (ORCID: https://orcid.org/0000-0001-8365-1375)
- Wendy Tatiana Garzon-Siatoya
- Sara Elattar
- Adrianna D Clapp
- Ryan Moerer
Institutions
- Mayo Clinic (US)
- Jacksonville College (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- The Annals of Family Medicine
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1370/afm.230627
- Citations
- 2
- Primary Topic
- Cardiovascular Issues in Pregnancy
- Type
- article
- Field-Weighted Citation Impact
- 2.78