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in resource-limited regions include a lack of data accessibility for model development, physician apprehension, and an outdated regulatory framework.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 language | English (US) |
---|---|
Article number | e15939 |
Journal | Echocardiography |
Volume | 41 |
Issue number | 10 |
DOIs | |
State | Published - 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