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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

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

The methodology for measuring fetal biometry and amniotic fluid remained constant across all acquisition protocol iterations, with the use of a standardized protocol from international standards [20,21] to ensure the quality control of the images obtained. A pilot study was conducted to calculate the sample size required to answer the following questions: Does the addition of step 5 of the CALOPUS ultrasound protocol help to visualize the cervix more than step 4 of the CALOPUS ultrasound protocol alone?

Alice Self, Qingchao Chen, Bapu Koundinya Desiraju, Sumeet Dhariwal, Alexander D Gleed, Divyanshu Mishra, Ramachandran Thiruvengadam, Varun Chandramohan, Rachel Craik, Elizabeth Wilden, Ashok Khurana, The CALOPUS Study Group, Shinjini Bhatnagar, Aris T Papageorghiou, J Alison Noble

JMIR Res Protoc 2022;11(9):e37374