Developing clinical artificial intelligence for obstetric ultrasound to improve access in underserved regions: protocol for a Computer-Assisted Low-Cost Point-of-Care UltraSound (CALOPUS) study

<p><strong>Background:</strong> The World Health Organization recommends a package of pregnancy care that includes obstetric ultrasound scans. There are significant barriers to universal access to antenatal ultrasound, particularly because of the cost and need for maintenance of ul...

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Detaylı Bibliyografya
Asıl Yazarlar:	Self, A, Chen, Q, Desiraju, BK, Dhariwal, S, Gleed, AD, Mishra, D, Thiruvengadam, R, Chandramohan, V, Craik, R, Wilden, E, Khurana, A, Bhatnagar, S, Papageorghiou, AT, Noble, JA
Diğer Yazarlar:	CALOPUS Study Group
Materyal Türü:	Journal article
Dil:	English
Baskı/Yayın Bilgisi:	JMIR Publications 2022

Developing clinical artificial intelligence for obstetric ultrasound to improve access in underserved regions: protocol for a Computer-Assisted Low-Cost Point-of-Care UltraSound (CALOPUS) study

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