Integration of machine learning and large language models for screening and identifying key risk factors of acute kidney injury after cardiac surgery.

Several variables did not reach statistical significance; however, they were retained as postoperative AKI risk factors based on established clinical relevance and confirmation through LLMs-simulated expert validation.

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