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in resource-limited regions include a lack of data accessibility for model development, physician apprehension, and an outdated regulatory framework.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