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Towards Fully Automated Medical Imaging Code Generation via Validation-based Context Engineering

arXiv · AI, language, vision and robotics · article · Aug 29, 2026 · UTC

Large language models (LLMs) have demonstrated considerable promise in program generation for small-scale and conventional application development; however, they remain limited when applied to complex, domain-specific tasks such as medical image processing. General-purpose models lack explicit domain knowledge and robust validation mechanisms to ensure correctness, often requiring substantial human intervention to produce reliable processing pipelines. To address these limitations, we propose AutoMedImg, a multi-agent framework for fully automated medical image processing code generation. Auto

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