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

Alice Self   ¹ , MA ;   Qingchao Chen   ² , PhD ;   Bapu Koundinya Desiraju   ³ , PhD ;   Sumeet Dhariwal   ² , MSc ;   Alexander D Gleed   ² , MEng ;   Divyanshu Mishra   ³ , BTECH ;   Ramachandran Thiruvengadam   ³ , MD ;   Varun Chandramohan   ³ , BTECH ;   Rachel Craik   ¹ , BSc ;   Elizabeth Wilden   ² , PhD ;   Ashok Khurana   ⁴ , MD ;   The CALOPUS Study Group   ^{5 *} ;   Shinjini Bhatnagar   ^{3 *} , PhD ;   Aris T Papageorghiou   ^{1, 6 *} , MD ;   J Alison Noble   ^{2 *} , DPhil

¹ Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom

² Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom

³ Translational Health Science and Technology Institute, Faridabad, India

⁴ The Ultrasound Lab, New Delhi, India

⁵ See Acknowledgments, Faridabad, India

⁶ Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, United Kingdom

*these authors contributed equally