Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings-Reference-Cited by-同舟云学术

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Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings

Published:2024-08-27 Issue:8 Volume:332 Page:626
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Gimovsky Alexis C.¹,Eke Ahizechukwu C.²,Tuuli Methodius G.¹

Affiliation:

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

Publisher

American Medical Association (AMA)

Link

https://jamanetwork.com/journals/jama/articlepdf/2821668/jama_gimovsky_2024_ed_240058_1723741916.38897.pdf

Reference14 articles.

1. Committee Opinion No 700: methods for estimating the due date.;Obstet Gynecol,2017

2. Diagnostic accuracy of an integrated AI tool to estimate gestational age from blind ultrasound sweeps.;Stringer;JAMA,2024

3. How to improve access to medical imaging in low- and middle-income countries?;Frija;EClinicalMedicine,2021

4. Artificial intelligence assistance for fetal development: evaluation of an automated software for biometry measurements in the mid-trimester.;Han;BMC Pregnancy Childbirth,2024

5. Evaluation of automated tool for two-dimensional fetal biometry.;Salim;Ultrasound Obstet Gynecol,2019

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