Artificial Intelligence and Robotics in Interventional Cardiology: Preparing for a Transformative Future

Dasaad Mulijono*

Dasaad Mulijono*

Volume6-Issue8
Dates: Received: 2025-08-03 | Accepted: 2025-08-18 | Published: 2025-08-19
Pages: 1110-1115

Abstract

Cardiovascular Disease (CVD) remains the leading cause of death worldwide, despite significant advances in pharmacotherapy and interventional techniques. The emergence of Artificial Intelligence (AI) and robotics represents a transformative leap forward in addressing persistent challenges in interventional cardiology, including operator variability, procedural complexity, and limited access in underserved regions. AI enables real-time data interpretation, lesion assessment, and predictive modelling, while robotic systems enhance precision, reduce operator fatigue, and facilitate remote intervention. Together, these technologies are reshaping the interventional landscape with the promise of safer, more efficient, and more personalized care.

This article reviews the current state of AI and robotic integration in leading cardiovascular centres across the globe, highlights patient and physician benefits, and outlines the critical institutional, educational, and policy preparations required to support responsible adoption. Special emphasis is given to the Indonesian experience at Bethsaida Hospital, which has become a national pioneer in using AI to power its Whole Food Plant-Based Diet (WFPBD) program. Bethsaida has reversed chronic diseases and improved outcomes using scalable digital solutions that leverage AI-driven education, metabolic profiling, and patient engagement tools.

Now, under the leadership of Prof. Dasaad Mulijono (DM), Bethsaida is expanding its technological capabilities into robotic-assisted and AI-guided interventional cardiology, setting a precedent in Southeast Asia for integrative, precision-driven cardiovascular care. This work examines the promise of these technologies and the systemic shifts necessary to ensure they enhance rather than replace the human touch in healing.

FullText HTML FullText PDF DOI: 10.37871/jbres2167

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How to cite this article

Mulijono D. Artifi cial Intelligence and Robotics in Interventional Cardiology: Preparing for a Transformative Future. J Biomed Res Environ Sci. 2025 Aug 19; 6(8): 1110-1115. doi: 10.37871/jbres2167, Article ID: JBRES2167, Available at: https:// www.jelsciences.com/articles/jbres2167.pdf

Subject area(s)

Clinical Cardiology

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