Article

Towards Accessible Radiological Image Analysis via Local Agentic Framework: Validation in Mammography

2026-08-05

Abstract excerpt

Existing radiological artificial intelligence (AI) systems are difficult to modify, validate, and adapt to new clinical applications. We present a large language model (LLM)-driven agentic framework capable of reconstructing, optimizing, and customizing deep-learning (DL) systems for radiological image analysis using a single consumer-grade PC. The agent reconstructed the missing pre-training model and corrected a...

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Literature Corpus work: b54849d4-9d7d-56be-a3ea-82cc5073238c
DOI: 10.64898/2026.08.03.26359608

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