Multi-imaging Approach to Optimize Robotically Assisted Percutaneous Coronary Intervention Supported by AI Automation

Case Report

Volume 5, Issue 1

Multi-imaging Approach to Optimize Robotically Assisted Percutaneous Coronary Intervention Supported by AI Automation

Adriana Złahoda-Huzior^1,2*, Katarzyna Kołodziej², Aleksander Zeliaś³ and Dariusz Dudek⁴

¹AGH University of Science and Technology, Department of Measurement and Electronics, Krakow, Poland
²SimHub, Virmed, Krakow, Poland
³Clinical Research Center Intercard, Krakow, Poland
⁴Center of Digital Medicine and Robotics, Jagiellonian University Medical College, Krakow, Poland

^*Corresponding author: Adriana Złahoda-Huzior, AGH University of Science and Technology, Department of Measurement and Electronics, Krakow, Poland.
E-mail: adrianazlahoda@gmail.com

Received: December 21, 2024; Accepted: January 06, 2025; Published: January 15, 2025

Citation: Złahoda-Huzior A, Kołodziej K, Zeliaś A, et al. Multi-imaging Approach to Optimize Robotically Assisted Percutaneous Coronary Intervention Supported by AI Automation. Case Rep Clin Cardiol J. 2025; 5(1): 146.

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Multi-imaging Approach to Optimize Robotically Assisted Percutaneous Coronary Intervention Supported by AI Automation

Abstract

Coronary computed tomography angiography (CCTA) is becoming an important diagnostic tool for coronary artery disease. CCTA examination can also support with determining the vessel geometry, lesion size and morphology, as well as in planning the treatment strategy for percutaneous coronary interventions. We report the case of left coronary artery stenosis treated robotically, in which multimodality imaging data including CCTA were used to facilitate intravascular navigation with robotic AI-based automation techniques.

Keywords: R-PCI; CCTA; Robotics; Multi-modality imaging

Article Details

Multi-imaging Approach to Optimize Robotically Assisted Percutaneous Coronary Intervention Supported by AI Automation