Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
10 Ways to improve your use of artificial intelligence in inborn errors of immunity
0
Zitationen
19
Autoren
2025
Jahr
Abstract
Für dieses Paper ist kein Abstract in der Datenbank hinterlegt.
Abstract beim Verlag einsehenÄhnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.239 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.095 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.463 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 · 5.428 Zit.
Autoren
Institutionen
- Georgetown University(US)
- Georgetown University Medical Center(US)
- Joe DiMaggio Children's Hospital(US)
- Scripps Clinic(US)
- Children's Minnesota(US)
- Columbia University Irving Medical Center(US)
- University of Pittsburgh(US)
- Loma Linda University Children's Hospital(US)
- Seattle Children's Hospital(US)
- Emory University(US)
- Children's Healthcare of Atlanta(US)
- University of California, Irvine(US)
- Keck Hospital of USC(US)
- Loma Linda University Health Care(US)
- Nationwide Children's Hospital(US)
- The Ohio State University(US)
- ENT and Allergy(US)
- Encino Hospital Medical Center(US)
- Massachusetts Medical Society(US)
- Duke University(US)