Machine Learning Assessment of Gestational Age in Accelerated Maturation, Delayed Maturation, Villous Edema, Chorangiosis, and Intrauterine Fetal Demise
We show that various abnormalities of villous maturation and morphology correlate with abnormalities in placental age. This "no pathologist" model could be useful in situations where pathologists are unavailable or the need for consistency outweighs the utility of expertise.
Authors
- Ramin Nateghi
- Lee Cooper (ORCID: https://orcid.org/0000-0002-3504-4965)
- Jeffrey A. Goldstein (ORCID: https://orcid.org/0000-0002-4086-057X)
Institutions
- Northwestern University (US)
- McCormick (United States) (US)
Publication Details
- Journal
- Archives of Pathology & Laboratory Medicine
- Published
- 2024-10-06
- DOI
- https://doi.org/10.5858/arpa.2024-0274-oa
- Citations
- 4
- Primary Topic
- Pregnancy and preeclampsia studies
- Type
- article
- Field-Weighted Citation Impact
- 2.33