Work

Evaluation of an Artificial Intelligence and Machine Learning Algorithm to Enhance Angiographic Coronary Visibility in Morbid Obesity: A Retrospective Observational Study

Year: 2026

Type: article

Abstract: Invasive coronary angiography is an essential diagnostic tool to assess coronary artery disease but is often limited by suboptimal image quality among obese patients. A novel artificial intelligence (AI) and machine learning algorithm using spatiotemporal enhancement processing (STEP) has been developed to enhance angiographic images and improve coronary visualization,1,2 but whether STEP improves suboptimal image quality in morbidly obese patients has not been studied. This study was performed to evaluate whether STEP can enhance coronary visualization among cineangiograms acquired in morbidly obese patients.

Source: Journal of the Society for Cardiovascular Angiography & Interventions

DOI: 10.1016/j.jscai.2026.105627