Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings

JAMA. 2024 Aug 27;332(8):626-628. doi: 10.1001/jama.2024.14794.

Authors

Alexis C Gimovsky¹, Ahizechukwu C Eke², Methodius G Tuuli¹

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.

PMID: 39088222
DOI: 10.1001/jama.2024.14794

No abstract available

Publication types

Editorial
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Comment

MeSH terms

Artificial Intelligence* / economics
Developing Countries
Female
Gestational Age
Humans
Point-of-Care Systems* / economics
Pregnancy
Resource-Limited Settings
Ultrasonography, Prenatal* / economics
Ultrasonography, Prenatal* / instrumentation
Ultrasonography, Prenatal* / methods