Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Should Artificial Intelligence Augment Medical Decision Making? The Case for an Autonomy Algorithm
78
Zitationen
2
Autoren
2018
Jahr
Abstract
. We suggest that the proposed algorithm would result in more accurate predictions than existing methods, which are resource intensive and consider only small patient cohorts. This algorithm could become a valuable tool in medical decision-making processes, augmenting the capacity of all people to make health care decisions in difficult situations.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.693 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.598 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.124 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.871 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.