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Ahmad, Masood

https://orcid.org/0000-0002-7126-7787

Mayo Clinic

The University of Texas Medical Branch at Galveston

Citations 1

Artificial Intelligence Echocardiography in Resource‐Limited Regions: Applications and Challenges
Hamza, Izhan, Abdulla, Amer , Ahmad, Masood , Ahmad, Masood , Pellikka, Patricia A.

Echocardiography | October 5, 2024 | Volume: 41 | Issue: 10 | Pages: No page available

10.1111/echo.15939 Get It

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in resource‐limited regions include a lack of data accessibility for model development, physician apprehension, and an outdated regulatory framework.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