Artificial Intelligence in Congenital Heart Disease: Current State and Prospects

Area of Science:

• Cardiology
• Medical Informatics
• Artificial Intelligence

Background:

• Big data era offers opportunities for artificial intelligence (AI) in healthcare.
• Congenital heart disease (CHD) patient care can be optimized using AI.
• Significant underutilization of AI in clinical CHD diagnosis, prognosis, and management exists.

Purpose of the Study:

• To describe the current state of AI in congenital heart disease.
• To review challenges and discuss opportunities for AI in CHD.
• To identify top priorities for AI-based deployment in CHD.

Main Methods:

• Literature review on AI applications in CHD.
• Analysis of current AI utilization in clinical practice.
• Identification of barriers and facilitators for AI adoption.

Main Results:

• AI offers potential for enhanced CHD care but is underused.
• Key challenges include data integration, validation, and clinical workflow.
• Opportunities lie in predictive modeling, personalized treatment, and improved outcomes.

Conclusions:

• Strategic AI deployment is crucial for advancing CHD care.
• Addressing current challenges will unlock AI's full potential in CHD.
• Prioritizing AI applications can optimize diagnosis, prognosis, and management for CHD patients.