Key result
Artificial intelligence tools, such as semantic search and retrieval-augmented generation, transform the digital reading of cardiology literature from passive text consumption into an interactive analytical process.
The implementation of AI models in cardiology publishing transforms digital reading from passive text consumption into an interactive, highly efficient analytical process.
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Ivanuša et al. (2026) conducted an editorial in Medical education and cardiology literature. Artificial intelligence tools (semantic search, RAG) vs. Traditional lexical search and reading was evaluated. Artificial intelligence tools, such as semantic search and retrieval-augmented generation, transform the digital reading of cardiology literature from passive text consumption into an interactive analytical process.
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