Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings

Affiliations

¹ Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Women & Infants Hospital of Rhode Island, Alpert Medical School of Brown University, Providence, Rhode Island.
² Division of Maternal-Fetal Medicine, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Editorial

Alexis C Gimovsky et al. JAMA. 2024.

. 2024 Aug 27;332(8):626-628.

doi: 10.1001/jama.2024.14794.

¹ Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Women & Infants Hospital of Rhode Island, Alpert Medical School of Brown University, Providence, Rhode Island.
² Division of Maternal-Fetal Medicine, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.

No abstract available

Comment on

Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps.
Stringer JSA, Pokaprakarn T, Prieto JC, Vwalika B, Chari SV, Sindano N, Freeman BL, Sikapande B, Davis NM, Sebastião YV, Mandona NM, Stringer EM, Benabdelkader C, Mungole M, Kapilya FM, Almnini N, Diaz AN, Fecteau BA, Kosorok MR, Cole SR, Kasaro MP. Stringer JSA, et al. JAMA. 2024 Aug 27;332(8):649-657. doi: 10.1001/jama.2024.10770. JAMA. 2024. PMID: 39088200 Free PMC article.

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