Harnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care

Area of Science:

• Cardiology
• Medical Technology
• Artificial Intelligence

Background:

• Artificial intelligence (AI) offers transformative potential for personalized patient care in interventional cardiology.
• AI can augment clinical care for acute coronary syndrome, coronary artery disease, and valvular heart disease.
• Harnessing diverse health data is key to AI's application in interventional cardiology.

Purpose of the Study:

• To review AI-driven technologies for advancing diagnosis, preprocedural planning, intraprocedural guidance, and prognostication in interventional cardiology.
• To highlight AI's role in automating tasks, increasing efficiency, and improving accuracy in cardiac interventions.
• To discuss the requirements for successful AI integration into clinical workflows for improved patient outcomes.

Main Methods:

• Review of AI applications across the spectrum of interventional cardiology.
• Analysis of AI's impact on diagnosis, planning, guidance, and prognostication.
• Examination of AI's potential to individualize clinical care and automate tasks.

Main Results:

• AI can automate clinical tasks, enhance efficiency, and improve reliability and accuracy in interventional cardiology.
• AI has the potential to individualize patient care and improve outcomes in coronary and structural heart interventions.
• AI-enabled community-based screening programs are proposed for broader patient benefit.

Conclusions:

• AI tools require robust development, consistent performance, proven clinical impact, and seamless workflow integration to transform interventional cardiology.
• Successful AI implementation can reshape interventional cardiology, leading to improved precision, efficiency, and patient outcomes.
• Further development and integration are necessary to fully leverage AI's potential in cardiovascular care.