AI-enabled obstetric point-of-care ultrasound as an emerging technology in low- and middle-income countries: provider and health system perspectives.

Journal: BMC pregnancy and childbirth
Published Date:

Abstract

BACKGROUND: In many low- and middle-income countries (LMICs), widespread access to obstetric ultrasound is challenged by lack of trained providers, workload, and inadequate resources required for sustainability. Artificial intelligence (AI) is a powerful tool for automating image acquisition and interpretation and may help overcome these barriers. This study explored stakeholders' opinions about how AI-enabled point-of-care ultrasound (POCUS) might change current antenatal care (ANC) services in LMICs and identified key considerations for introduction.

Authors

  • Sara Della Ripa
    Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.
  • Nicole Santos
    Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.
  • Dilys Walker
    Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA. Dilys.Walker@ucsf.edu.