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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Feb 17, 2022
Date Accepted: Jun 21, 2022

The final, peer-reviewed published version of this preprint can be found here:

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

Self A, Chen Q, Desiraju BK, Dhariwal S, Gleed A, Mishra D, Thiruvengadam R, Chandramohan V, Craik R, Wilden E, Khurana A, Study Group tC, Bhatnagar S, Papageorghiou A, Noble JA

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

JMIR Res Protoc 2022;11(9):e37374

DOI: 10.2196/37374

PMID: 36048518

PMCID: 9478819

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Per the author's request this version is not available.