This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (446) Artificial Intelligence (720) Obstetrics, Gynecology, and Reproductive Medicine (134)

Published on in Vol 11 , No 9 (2022) :September

This is a member publication of University of Oxford (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37374, first published .
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

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

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

Authors of this article:

Alice Self 1 Author Orcid Image ;   Qingchao Chen 2 Author Orcid Image ;   Bapu Koundinya Desiraju 3 Author Orcid Image ;   Sumeet Dhariwal 2 Author Orcid Image ;   Alexander D Gleed 2 Author Orcid Image ;   Divyanshu Mishra 3 Author Orcid Image ;   Ramachandran Thiruvengadam 3 Author Orcid Image ;   Varun Chandramohan 3 Author Orcid Image ;   Rachel Craik 1 Author Orcid Image ;   Elizabeth Wilden 2 Author Orcid Image ;   Ashok Khurana 4 Author Orcid Image ;   The CALOPUS Study Group 5 ;   Shinjini Bhatnagar 3 Author Orcid Image ;   Aris T Papageorghiou 1, 6 Author Orcid Image ;   J Alison Noble 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Toscano M, Marini T, Lennon C, Erlick M, Silva H, Crofton K, Serratelli W, Rana N, Dozier A, Castaneda B, Baran T, Drennan K. Diagnosis of Pregnancy Complications Using Blind Ultrasound Sweeps Performed by Individuals Without Prior Formal Ultrasound Training. Obstetrics & Gynecology 2023;141(5):937 View