Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Semi-automated Systematic Review: Main applications and trends of foundation models
0
Zitationen
3
Autoren
2025
Jahr
Abstract
This systematic review examines current research topics and applications of foundation models and their relevance to various academic disciplines. To manage and organize a systematic review, we used tools like CADIMA, and for the meta-analysis of selected studies, we relied on the Bibliometrix library in R. Our initial search, following PRISMA methodology, identified 1,161 relevant manuscripts. After carefully analyzing themes and narrowing down our focus, we selected 9 studies that stood out for their relevance to recent applications and developments. This finding points to a strong global interest in this field, with a clear emphasis on applications that benefit people directly. The word cloud shows “Human” as the most prominent term, which tells us that researchers and developers are increasingly focused on using this technology to improve human experiences and address real-world needs. Medical research, in particular,stands out as a rapidly evolving area where this technology is making strides. This suggests exciting potential for healthcare advancements, ranging from personalized treatments to more accurate diagnostics, with an ultimate goal of enhancing patient care and well-being. Overall,these results suggest that the field is shifting toward creating meaningful, practical solutions that can make a difference in people’s lives.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.436 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.311 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.753 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.523 Zit.