Testing and evaluation of generative large language models in electronic health record applications: a systematic review
Our systematic review shows that current evaluations of LLMs in real clinical settings are surprisingly narrow and mostly focused on radiology and decision support, while key areas like patient communication remain largely under-explored.
Jan 13, 2026
AI-assisted literature screening: A hybrid approach using large language models and retrieval-augmented generation
This study aims to improve literature screening efficiency and accuracy by developing an LLM-based approach that incorporates rule-based preprocessing, prompt engineering (including RAG), and ensemble techniques.
Nov 30, 2025
Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review
We conduct a comprehensive review of recent studies that leverage generative LLMs for EHR analysis and applications, focusing on their performance and strategies for improvement.
Aug 25, 2025