Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence and Machine Learning in Endocrinology and Metabolism: The Dawn of a New Era
53
Zitationen
5
Autoren
2019
Jahr
Abstract
OPINION article Front. Endocrinol., 28 March 2019Sec. Translational Endocrinology Volume 10 - 2019 | https://doi.org/10.3389/fendo.2019.00185
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.200 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.051 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.416 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.410 Zit.
Autoren
Institutionen
- National Institute of Diabetes and Digestive and Kidney Diseases(US)
- National Institutes of Health(US)
- Centre Hospitalier de l’Université de Montréal(CA)
- Université de Montréal(CA)
- University of Tennessee Health Science Center(US)
- Carl von Ossietzky Universität Oldenburg(DE)
- Medicover(DE)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development(US)