Communications Medicine (Oct 2022)
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
- Ryan G. Gomes,
- Bellington Vwalika,
- Chace Lee,
- Angelica Willis,
- Marcin Sieniek,
- Joan T. Price,
- Christina Chen,
- Margaret P. Kasaro,
- James A. Taylor,
- Elizabeth M. Stringer,
- Scott Mayer McKinney,
- Ntazana Sindano,
- George E. Dahl,
- William Goodnight,
- Justin Gilmer,
- Benjamin H. Chi,
- Charles Lau,
- Terry Spitz,
- T. Saensuksopa,
- Kris Liu,
- Tiya Tiyasirichokchai,
- Jonny Wong,
- Rory Pilgrim,
- Akib Uddin,
- Greg Corrado,
- Lily Peng,
- Katherine Chou,
- Daniel Tse,
- Jeffrey S. A. Stringer,
- Shravya Shetty
Affiliations
- Ryan G. Gomes
- Google Health
- Bellington Vwalika
- Department of Obstetrics and Gynaecology, University of Zambia School of Medicine
- Chace Lee
- Google Health
- Angelica Willis
- Google Health
- Marcin Sieniek
- Google Health
- Joan T. Price
- Department of Obstetrics and Gynecology, University of North Carolina School of Medicine
- Christina Chen
- Google Health
- Margaret P. Kasaro
- Department of Obstetrics and Gynaecology, University of Zambia School of Medicine
- James A. Taylor
- Google Health
- Elizabeth M. Stringer
- Department of Obstetrics and Gynecology, University of North Carolina School of Medicine
- Scott Mayer McKinney
- Google Health
- Ntazana Sindano
- UNC Global Projects—Zambia, LLC
- George E. Dahl
- Google Research
- William Goodnight
- Department of Obstetrics and Gynaecology, University of Zambia School of Medicine
- Justin Gilmer
- Google Research
- Benjamin H. Chi
- Department of Obstetrics and Gynecology, University of North Carolina School of Medicine
- Charles Lau
- Google Health
- Terry Spitz
- Google Health
- T. Saensuksopa
- Google Health
- Kris Liu
- Google Health
- Tiya Tiyasirichokchai
- Google Health
- Jonny Wong
- Google Health
- Rory Pilgrim
- Google Health
- Akib Uddin
- Google Health
- Greg Corrado
- Google Health
- Lily Peng
- Google Health
- Katherine Chou
- Google Health
- Daniel Tse
- Google Health
- Jeffrey S. A. Stringer
- Department of Obstetrics and Gynecology, University of North Carolina School of Medicine
- Shravya Shetty
- Google Health
- DOI
- https://doi.org/10.1038/s43856-022-00194-5
- Journal volume & issue
-
Vol. 2,
no. 1
pp. 1 – 9
Abstract
Gomes et al. develop machine learning models for gestational age and fetal malpresentation assessment on fetal ultrasound. The authors optimize their system for use in low-resource settings, using novice ultrasound operators, simplified imaging protocols, and low cost ultrasound devices.
