Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Cardiovascular Care—Part 2: Applications
51
Zitationen
21
Autoren
2024
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 · 8.197 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.047 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.410 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
- Sneha S. Jain
- Pierre Elias
- Timothy J. Poterucha
- Michael Randazzo
- Francisco López Jiménez
- Rohan Khera
- Marco Perez
- David Ouyang
- James P. Pirruccello
- Michael Salerno
- Andrew J. Einstein
- Robert Avram
- Geoffrey H. Tison
- Girish N. Nadkarni
- Vivek T. Natarajan
- Emma Pierson
- Ashley Beecy
- Deepa Kumaraiah
- Chris Haggerty
- Jennifer N. Avari Silva
- Thomas M. Maddox
Institutionen
- Palo Alto Institute(US)
- Stanford University(US)
- Palo Alto University(US)
- New York Proton Center(US)
- Columbia University Irving Medical Center(US)
- University of Chicago Medical Center(US)
- Mayo Clinic in Arizona(US)
- University of Minnesota Rochester(US)
- Mayo Clinic(US)
- University of New Haven(US)
- Yale University(US)
- Cedars-Sinai Medical Center(US)
- University of California, San Francisco(US)
- Montreal Heart Institute(CA)
- Icahn School of Medicine at Mount Sinai(US)
- Mountain View College(US)
- Google (United States)(US)
- Cornell University(US)
- Presbyterian Healthcare Services(US)
- Washington University in St. Louis(US)