Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The inclusion of a Holter Reading software in the clinical practice of cardiology shows a multi-level high positive impact in healthcare: a real-world implementation study in three Spanish hospitals
0
Zitationen
10
Autoren
2025
Jahr
Abstract
Aims: Holter monitoring is a high prevalent technique to detect various heart pathologies. Its use has progressively increased over time with the consequent expenditure of time to interpret its results. We aim to evaluate the validity of the Cardiologs software as well as the clinical utility and potential benefits derived from the inclusion of an artificial intelligence (AI)-based software in the clinical routine of the cardiology service. Methods and results: < 0.001). Notably, the software showed sensitivity of 99.4%, negative predictive value of 99.5%, and negative likelihood ratio of 0.010, highlighting its clinical usefulness in correctly identify normal tests. Conclusion: The inclusion of an AI-based software for reading Holter tests may have great impact in distinguishing normal Holter tests, leading to time savings and improved clinical efficiency.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.646 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.554 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.071 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.851 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.