Artificial Intelligence in Coronary Artery Interventions: Preprocedural Planning and Procedural Assistance

Area of Science:

• Cardiovascular Medicine
• Medical Imaging
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is increasingly impacting cardiovascular interventions, particularly coronary artery procedures.
• AI enhances diagnostic accuracy for coronary artery disease using advanced imaging.
• AI integration streamlines workflows, improves accuracy, efficiency, and patient outcomes.

Purpose of the Study:

• To review the latest advancements in AI applications for coronary artery interventions.
• To focus on AI's role in preprocedural planning and real-time procedural guidance.
• To address limitations hindering widespread clinical adoption of AI in this field.

Main Methods:

• Review of current literature on AI in coronary artery interventions.
• Analysis of AI applications in diagnostic imaging and procedural guidance.
• Examination of challenges and limitations to clinical adoption.

Main Results:

• AI significantly enhances diagnostic accuracy and personalization of interventional strategies.
• AI integration improves procedural accuracy, clinician efficiency, and patient safety.
• Key applications include preprocedural planning and real-time guidance.

Conclusions:

• AI offers substantial benefits for cardiovascular interventions, improving diagnosis and procedures.
• Algorithmic bias, lack of transparency, and ethical concerns remain significant challenges.
• Overcoming these obstacles is crucial for the widespread clinical adoption of AI in coronary interventions.