New research published in JMIR Cardio has revealed the remarkable potential of artificial intelligence (AI) technology in the analysis of coronary angiography. The study conducted at Uijeongbu Eulji University Hospital in Korea compared AI-based quantitative coronary angiography (AI-QCA) with intravascular ultrasound (IVUS), which is a widely used imaging tool to evaluate stenotic lesions of the coronary arteries.
The analysis included 54 significant lesions from 47 patients who underwent IVUS-guided coronary intervention. The results showed that AI-QCA provided accurate and consistent measurements of coronary stenotic lesions, similar to IVUS, suggesting that it could be used safely in clinical practice.
AI-QCA analysis was performed with MPXA-2000 (Medipixel), a newly developed software that uses an algorithm intended to mimic the QCA process by human experts. This technology has the potential to improve patient outcomes and support clinical decision making by automatically analyzing 2D angiography images and guiding clinicians in determining optimal stent sizes.
“We believe this new tool could give treating physicians confidence and help them make optimal clinical decisions,” said Dr. In Tae Moon, lead author of the study.
AI-QCA offers an innovative approach to analyzing coronary angiography images, providing automated and real-time information. While the study provides promising results, more research is required to fully explore the clinical utility and safety of AI-QCA.
It is apparently, this study marks an important step forward in the application of AI to improve cardiovascular care. With further development and validation, AI-QCA could become a valuable tool for clinicians worldwide in diagnosing and treating coronary artery disease.
