AI for clinical and academic cardiology knowledge work: innovation or academic misconduct ? Literature search, data extraction and responsible use

A PCR–TCT partners in learning initiative

Moderators: T. Modine, L. M. Desroche

Discussants: M. Chen, J. Popma, V. Pham

Summary

This session critically examines the role of artificial intelligence in clinical and academic cardiology, focusing on its application in literature search, evidence synthesis, and report structuring. It discusses responsible AI use, emphasizing the balance between assistance and academic integrity, and features a debate on authorship, transparency, and the future impact of AI on academic cardiology work.

Learning Objectives

To use AI to support literature search, evidence synthesis and preparation for clinical decision-making.
To understand how AI can help structure data, reports and presentations without replacing critical judgement.
To identify the boundary between responsible assistance and unacceptable academic use.

Presentations available when logged in:

AI for literature search and evidence synthesis
Performance of LLMs in structuring angiography reports and extracting FFR/iFR values
Talk: AI for figure/presentation design

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AI for clinical and academic cardiology knowledge work: innovation or academic misconduct ? Literature search, data extraction and responsible use

A PCR–TCT partners in learning initiative

Learning Objectives

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