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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
BACKGROUND: 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 ultrasound equipment and a lack of train...
Autores principales: | Self, Alice, Chen, Qingchao, Desiraju, Bapu Koundinya, Dhariwal, Sumeet, Gleed, Alexander D, Mishra, Divyanshu, Thiruvengadam, Ramachandran, Chandramohan, Varun, Craik, Rachel, Wilden, Elizabeth, Khurana, Ashok, Bhatnagar, Shinjini, Papageorghiou, Aris T, Noble, J Alison |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478819/ https://www.ncbi.nlm.nih.gov/pubmed/36048518 http://dx.doi.org/10.2196/37374 |
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