Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps
(Abstracted from JAMA 2024;332:649–657) Gestational age (GA) is critical for guiding obstetric decisions related to antenatal care and delivery. In high-income countries, GA is typically measured via fetal biometry using high-resolution ultrasound machines operated by credentialed sonographers.
Authors
- Ntazana Sindano (ORCID: https://orcid.org/0000-0001-8494-4735)
- Margaret P. Kasaro (ORCID: https://orcid.org/0000-0001-7285-998X)
- Jeffrey S. A. Stringer (ORCID: https://orcid.org/0000-0002-9590-7216)
- Srihari V Chari (ORCID: https://orcid.org/0000-0003-2920-7104)
- Chiraz BenAbdelkader
- Teeranan Pokaprakarn (ORCID: https://orcid.org/0000-0001-7548-8539)
- Michael R. Kosorok (ORCID: https://orcid.org/0000-0002-6070-9738)
- Filson M. Kapilya
- Nicole D. Armstrong (ORCID: https://orcid.org/0000-0002-6483-4560)
- Yuri V. Sebastião (ORCID: https://orcid.org/0000-0002-4268-3095)
- Bellington Vwalika (ORCID: https://orcid.org/0000-0001-5548-8187)
- Bethany L. Freeman (ORCID: https://orcid.org/0000-0001-5419-6000)
- Nariman Almnini
- Stephen R. Cole (ORCID: https://orcid.org/0000-0003-2117-1311)
- Juan Carlos Prieto (ORCID: https://orcid.org/0000-0002-3778-9098)
- Elizabeth M. Stringer (ORCID: https://orcid.org/0000-0003-4210-381X)
- Arieska N. Diaz
- Brittany A. Fecteau
- Bridget Sikapande
- Nelly M. Mandona
- Mutinta Mungole
Publication Details
- Journal
- Obstetrical & Gynecological Survey
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1097/ogx.0000000000001375
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65