Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Applications of artificial intelligence/machine learning approaches in cardiovascular medicine: a systematic review with recommendations
67
Zitationen
16
Autoren
2021
Jahr
Abstract
A major finding is that methodology may overlap even with similar data. Since we observed marked variation in quality, reporting of the evaluation and transparency of data and methods urgently need to be improved.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.527 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.419 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.909 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.578 Zit.
Autoren
Institutionen
- Universitätsmedizin Göttingen(DE)
- Universitätsmedizin Greifswald(DE)
- German Centre for Cardiovascular Research(DE)
- University of Lübeck(DE)
- Heidelberg University(DE)
- University Hospital Heidelberg(DE)
- Deutsches Herzzentrum der Charité(DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin(DE)
- Charité - Universitätsmedizin Berlin(DE)
- LMU Klinikum(DE)
- Ludwig-Maximilians-Universität München(DE)