AI in Cardiology

By Philips Cardiologs ∙ White paper ∙ Oct 15, 2025 ∙ 3 mins

White paper

cardiology

artificial intelligence

The cardiology community is actively exploring solutions to tackle staff shortages while ensuring or improving clinical outcomes, with Artificial Intelligence (AI) gaining significant traction as a promising tool. Nonetheless, adopting AI in cardiac care raises numerous questions about its practical applications, clinical validation, and integration processes.

This white paper focuses on:

Background about AI techniques
Analysis of the AI/ML-enabled Medical Devices used for cardiac imaging and monitoring
Adoption of AI in cardiology care
How to facilitate transition to AI
Perspectives for the future

Current status and clinical adoption

As of today, the FDA has cleared over 1250 AI/ML-based medical devices, including more than 200 specifically for cardiac monitoring and imaging, to aid in the prevention, diagnosis, and treatment of cardiac conditions.

They carry the promise of helping alleviate the burden on cardiac staff, allowing them to focus on critical clinical tasks.

This white paper examines the use cases of the current AI solutions, the question of the validation of algorithmic results, and the process of transitioning to these solutions.

These topics are illustrated with concrete examples from the Cardiologs AI solution for ECG analysis.

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AI in Cardiology

This white paper focuses on:

Current status and clinical adoption

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