Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Convergence of artificial intelligence research in healthcare: Trends and approaches
7
Zitationen
1
Autoren
2022
Jahr
Abstract
A value-based strategy relies on the implementation of a patient-centered care system that will directly benefit patient care outcomes and reduce costs of care. This paper identifies the trends and approaches to artificial intelligence (AI) research in healthcare. The convergence of multiple disciplines in the conduct of healthcare research requires partnerships to be established among academic scholars, healthcare practitioners, and industrial experts in software design and data science. This collaborative work will greatly enhance the formulation of theoretically relevant frameworks to guide empirical research and application, particularly relevant in the search for causal mechanisms to reduce costly and avoidable hospital readmissions for chronic conditions. An example of implementing patient-centered care at the community level is presented and entails the influence of the context, design, process, performance and outcomes on personal and population health, employing AI research and informational technology.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.102 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.468 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 · 5.429 Zit.