Privacy-Preserving Clinical Decision Support for Emergency Triage Using LLMs: System Architecture and Real-World Evaluation

This study presents a next-generation clinical decision-support architecture for Clinical Decision Support Systems (CDSS) focused on emergency triage. By integrating Large Language Models (LLMs), Federated Learning (FL), and low-latency streaming analytics within a modular, privacy-preserving framew...

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Bibliographic Details
Main Authors:	Alper Karamanlıoğlu, Berkan Demirel, Onur Tural, Osman Tufan Doğan, Ferda Nur Alpaslan
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Series:	Applied Sciences
Subjects:	clinical decision support triage fair data principles generative AI large language models federated learning
Online Access:	https://www.mdpi.com/2076-3417/15/15/8412
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Privacy-Preserving Clinical Decision Support for Emergency Triage Using LLMs: System Architecture and Real-World Evaluation

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