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A primer on artificial intelligence for the paediatric cardiologist.

Addison Gearhart¹, Sharib Gaffar², Anthony C Chang²

¹Boston Children's Hospital, Boston, MA02115, USA.

Cardiology in the Young

|July 7, 2020

Summary

Artificial intelligence (AI) offers significant potential in pediatric cardiology, a field requiring complex decision-making. AI can analyze patient data to predict outcomes, personalize treatments, and guide surgical planning for improved pediatric cardiac care.

Keywords:

Cardiology artificial intelligence paediatrics

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Area of Science:

Cardiology
Artificial Intelligence
Medical Informatics

Background:

Pediatric cardiology involves complex decision-making due to its perceptual and cognitive demands.
Artificial intelligence (AI) presents a promising technological solution for enhancing these decision-making processes.

Purpose of the Study:

To provide a primer on AI in pediatric cardiology.
To review the history, current applications, and future potential of AI in adult and pediatric cardiology.
To discuss barriers to implementing AI in clinical practice.

Main Methods:

Review of existing literature on AI in medicine and cardiology.
Discussion of prototypical AI system functionalities for patient data analysis and classification.
Exploration of AI applications in disease phenotyping, outcome prediction, and personalized treatment strategies.

Main Results:

AI systems can integrate and interpret vast amounts of patient data.
AI facilitates comparison with aggregated health data, literature, and trials for enhanced clinical insights.
Potential applications include morbidity/mortality prediction, precision medicine, and optimized surgical/imaging recommendations.

Conclusions:

AI holds transformative potential for pediatric cardiology by supporting complex clinical decisions.
Future implementation requires addressing current barriers to technology adoption.
AI can personalize patient care, from diagnosis to long-term management.