Exploring the Potential of ChatGPT-4 for Clinical Decision Support in Cardiac Electrophysiology and Its Semi-Automatic Evaluation Metrics

Abstract excerpt

<h4>Background/Aim</h4> Despite extensive research in other medical fields, the capabilities of ChatGPT-4 in clinical decision support within cardiac electrophysiology (EP) remain largely unexplored. This study aims to enhance ChatGPT-4’s domain-specific expertise by employing the Retrieval-Augmented Generation (RAG) approach, which integrates up-to-date, evidence-based knowledge into ChatGPT-4’s foundational data...

Topics

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• Artificial Intelligence
• Cardiovascular Diseases
• Deep Learning
• Electrocardiography
• Electronic Health Records
• Genome-Wide Association Study
• Polymorphism, Single Nucleotide
• ROC Curve

Identifiers and source

Literature Corpus work

1ba84365-1cd4-5e60-9a09-e6bb206725ed

DOI

10.1101/2024.07.10.24310247