Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Clinical applications and limitations of large language models in nephrology: a systematic review
2
Zitationen
6
Autoren
2025
Jahr
Abstract
While LLMs may enhance various aspects of nephrology practice, their widespread adoption remains premature. Input-quality dependence and limited external validation restrict generalizability. Further research is needed to confirm their real-world feasibility and ensure safe clinical integration.
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.607 Zit.
Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data
2005 · 10.527 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.876 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.443 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.942 Zit.