Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Machine learning in clinical practice: Evaluation of an artificial intelligence tool after implementation
32
Zitationen
7
Autoren
2023
Jahr
Abstract
Our study showed the diagnostic evaluation of a real-time AI clinical decision-support tool became less accurate than the original. Although real-time sensitivity and specificity of the AI tool was still acceptable as a decision-support tool in the ED, we propose that continuous training and evaluation of AI-enabled clinical support tools in healthcare are conducted to ensure consistent accuracy and performance to prevent inadvertent consequences.
Ähnliche Arbeiten
A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
1987 · 49.446 Zit.
APACHE II
1985 · 13.592 Zit.
Cochrane Database of Systematic Reviews
2003 · 11.311 Zit.
Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care
2001 · 8.576 Zit.
The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care.
1974 · 8.023 Zit.