Article

RAGnosis: Retrieval-Augmented Generation for Enhanced Medical Decision Making

2025-06-12

Abstract excerpt

We present RAGnosis, a fully offline, retrieval-augmented framework for interpreting unstructured clinical text using open-weight large language models. As a proof of concept, we apply RAGnosis to the task of paravalvular leak (PVL) classification from cardiac catheterization reports, a process that typically requires slow, expert-driven interpretation. The system combines local OCR, semantic retrieval, and instru...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7aadabe7-1608-595e-a3c9-ec42573444cd
DOI: 10.1101/2025.06.11.25329438

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

RAGnosis: Retrieval-Augmented Generation for Enhanced Medical Decision MakingDOI 10.1101/2025.06.11.25329438Read

Clinical Large Language Models with Multi-Stage Instruction Tuning and Advanced Retrieval-Augmented GenerationSemantic proximity Read

Evaluating a Large Reasoning Model’s Performance on Open-Ended Medical ScenariosSemantic proximity Read

Improving CXR Report Labeling Through LLM Fine-Tuning and Human FeedbackSemantic proximity Read

MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning CorrectionSemantic proximity Read

MAP-RAG: A Multi-View Adaptive Pattern-Aware Medical Retrieval-Augmented Generation Diagnostic FrameworkSemantic proximity Read

Development of a RAG-based Expert LLM for Clinical Support in Radiation OncologySemantic proximity Read

Investigations on using Evidence-Based GraphRag Pipeline using LLM Tailored for USMLE Style QuestionsSemantic proximity Read

A Comprehensive Review of DeepSeek: Performance, Architecture and CapabilitiesSemantic proximity Read

Queryome: Orchestrating Retrieval, Reasoning, and Synthesis across Biomedical LiteratureSemantic proximity Read

TabMedQA: From Structured Data to Question-Answer Datasets in Early Clinical Decision-MakingSemantic proximity Read

UPhAIR: A Hybrid Pipeline for Generating Understandable Post-hoc AI Reports in Glioma IDH Mutation Status PredictionSemantic proximity Read

Enhancing Medical Knowledge in Large Language Models via Supervised Continued Pretraining on Clinical NotesSemantic proximity Read