# Researchers release MeddeX: a LLaMA-3 medical report analyzer with Gemini Vision

Digest AI · Research · published 2026-10-16T04:00:00Z

Canonical: https://digestai.news/story/researchers-release-meddex-a-llama-3-medical-report-analyzer-with-gemi

## Summary

Researchers introduced **MeddeX**, a retrieval-augmented system combining a fine-tuned **LLaMA-3 (8B)** model, **Retrieval-Augmented Generation (RAG)**, and **Gemini Vision** for analyzing medical reports. It processes text-based PDFs, scanned images, and radiological scans while filtering corrupted files via a garbage-text detection mechanism. The system also compares longitudinal reports and processes legacy documents on demand.

MeddeX outperforms the base **LLaMA3-Med42-8B** model across benchmarks: **ROUGE-1 (+9.2%)**, **ROUGE-2 (+10.0%)**, **ROUGE-L (+11.8%)**, **BLEU (+71.4%)**, and **BERTScore (+0.8%)**. Built with **FastAPI**, **Supabase**, and **Next.js**, it aims to reduce clinician workload by automating evidence-backed summaries.

## Key points

- MeddeX merges LLaMA-3 (8B) with RAG and Gemini Vision for medical report analysis, handling PDFs and scans
- System includes garbage-text detection, longitudinal report comparison, and on-demand legacy document processing
- Outperforms LLaMA3-Med42-8B by +9.2% to +71.4% across ROUGE, BLEU, and BERTScore metrics

## Why it matters

MeddeX could accelerate clinical decision support by automating report analysis, reducing errors, and improving accessibility for busy healthcare professionals.

## Sources

1. [MeddeX: A Retrieval-Augmented LLaMA-3 System with Gemini Vision for Evidence-Backed Medical Report Analysis](https://arxiv.org/abs/2610.20632) (arXiv cs.CL, 2026-10-16, primary source)

## Cite

Digest AI, "Researchers release MeddeX: a LLaMA-3 medical report analyzer with Gemini Vision", 16 October 2026, https://digestai.news/story/researchers-release-meddex-a-llama-3-medical-report-analyzer-with-gemi

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