Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Application of artificial intelligence in obesity management: Bibliometric analysis
0
Zitationen
7
Autoren
2026
Jahr
Abstract
This study provides a comprehensive bibliometric analysis of AI in obesity management. Future research should focus on conducting multi-center, long-term, randomized controlled trials, obtaining high-quality longitudinal data, and formulating reasonable reimbursement policies and data security regulations to enhance the generalizability, effectiveness, and safety of AI applications. These findings are crucial for addressing the global burden of obesity.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 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 · 5.438 Zit.