AI adoption in the cathlab of tomorrow - Intravascular imaging applications

A PCR–TCT partners in learning initiative

Moderators: C. Cook, J. Davies, T. Modine

Speakers: C. Cook, N. Van Royen, G. Alexandridis, B. Yosofi, L. Heil

Summary

This session examines the integration of artificial intelligence in intravascular imaging within the cath lab, identifying unmet needs in OCT interpretation, exploring AI's role in enhancing procedural decision-making and trust, and discussing barriers to implementation such as prediction reliability and clinical actionability.

Learning Objectives

To identify the main unmet needs in OCT interpretation and where AI may realistically help.
To understand how AI can improve trust, procedural decision-making and adoption in intravascular imaging.
To recognise the main barriers to implementation, including uncertainty, overlap and limited actionability.

Presentations available when logged in:

What are the unmet needs in OCT interpretation - Can AI fill the gap to drive adoption?
The impact of OCT-based artifical intelligence-derived fibrotic plaque characterisation on stent expansion
Artificial Intelligence-based analysis of OCT images in MINOCA: atherosclerotic characteristics
Distinguishing reliable from uncertain artificial intelligence predictions in automated intracoronary plaque analysis of OCT

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AI adoption in the cathlab of tomorrow - Intravascular imaging applications

A PCR–TCT partners in learning initiative

Learning Objectives

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