Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Current applications and challenges in large language models for patient care: a systematic review
175
Zitationen
14
Autoren
2025
Jahr
Abstract
This review systematically maps LLM applications and limitations in patient care, providing a foundational framework and taxonomy for their implementation and evaluation in healthcare settings.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.527 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.419 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.909 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 · 5.578 Zit.
Autoren
Institutionen
- TUM Klinikum(DE)
- Technical University of Munich(DE)
- Humboldt-Universität zu Berlin(DE)
- Freie Universität Berlin(DE)
- Charité - Universitätsmedizin Berlin(DE)
- Leiden University Medical Center(NL)
- Sir Charles Gairdner Hospital(AU)
- University College London(GB)
- Universidad de Las Américas(EC)
- Azienda Ospedaliero-Universitaria Cagliari(IT)
- Deutsches Herzzentrum München(DE)
- Heidelberg University(DE)
- University Hospital Heidelberg(DE)
- National Center for Tumor Diseases(DE)
- University Hospital Carl Gustav Carus(DE)
- Universitätsklinikum Aachen(DE)
- University of Salerno(IT)