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A narrative framework review synthesizing evidence on technical difficulty, surgical quality assessment, and AI-enabled audit for minimally invasive D2 lymphadenectomy, proposing guidance for quality measurement and process review.
This is an unrefereed preprint presenting a novel algorithmic framework (Agentic ESOpt) with proof-of-concept results on a single benchmark and no peer-reviewed validation or comparison to established baselines.