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Enhancing Diagnostic Accuracy and Procedural Outcomes in Interventional Cardiology Through Machine Learning Algorithms

Year: 2025

Type: article

Abstract: In the rapidly evolving landscape of interventional cardiology, the advent of artificial intelligence (AI) and machine learning (ML) heralds a transformative era. Interventional cardiologists are now at the cusp of a significant shift in their practice, driven by 2 pivotal trends. First, AI's capability to uncover more subclinical diseases is enhancing the diagnostic value of intravascular imaging modalities such as intravascular ultrasound (IVUS) and optical coherence tomography (OCT), improving preprocedural planning for complex coronary and structural interventions.

Source: Journal of the Society for Cardiovascular Angiography & Interventions

DOI: 10.1016/j.jscai.2024.102511

Authors: Zain Khalpey, Amina Khalpey, Saurabh Jha

Institutions: HonorHealth, University of Pennsylvania

Language: English

Topic: Coronary Interventions and Diagnostics

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,400