Artificial Intelligence Echocardiography in Resource-Limited Regions: Applications and Challenges

Izhan Hamza, Patricia A. Pellikka, Amer Abdulla, Masood Ahmad

Research output: Contribution to journalArticlepeer-review

Abstract

Artificial intelligence (AI) is revolutionizing cardiac imaging, including echocardiography. However, AI has scarce penetration in resource-limited regions. The implementation of AI-aided echocardiography (AIE) poses unique challenges and opportunities in resource-limited areas. Some obvious advantages of AIE include aiding image acquisition, interpretation, and triaging patients based on severity. The challenges AIE faces in resource-limited regions include a lack of data accessibility for model development, physician apprehension, and an outdated regulatory framework. Based on our early experience with AI, we believe AIE in resource-limited regions will enhance health equity, improve access to the technology, and lead to cost savings. However, significant efforts are needed to realize these objectives.

Original languageEnglish (US)
Article numbere15939
JournalEchocardiography
Volume41
Issue number10
DOIs
StatePublished - Oct 2024

Keywords

  • artificial intelligence
  • cardiovascular imaging
  • echocardiography
  • health equity
  • resource limited

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

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