A non-systematic review paper authored by Erito Marques de Souza Filho from Universidade Federal Fluminense. It surveys published papers on Artificial Intelligence applications in Cardiology, focusing on decision-making support and diagnostic/prognostic performance improvements. The work discusses main applications, potential impacts, and challenges in the field.
Use Cases
- Survey AI applications in cardiology based on the review of published papers
- Identify challenges for AI adoption in clinical cardiology based on the discussion of potential impacts
- Support decision-making research in cardiology based on the focus on AI's diagnostic and prognostic performance
Strengths
- Authored by a researcher from Universidade Federal Fluminense
- Focuses on AI applications for decision-making support and diagnostic/prognostic performance in Cardiology
Limitations
- Row count is unknown, which may limit suitability assessment
- Column-level documentation is absent; field semantics must be inferred after download
- Last update date is unknown; freshness unverified
Provenance
- Source
- Erito Marques de Souza Filho, Universidade Federal Fluminense
- Collection Method
- Non-systematic review of published papers