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Integrating perioperative inflammation and pathological invasiveness to predict recurrence after curative colorectal cancer surgery: a multicenter cohort study
Abstract Background: Recurrence risk after curative surgery for non-metastatic colorectal cancer (CRC) remains heterogeneous within the same TNM stage. Pathological invasiveness and perioperative systemic inflammation may provide complementary prognostic information, but their combined value and the role of early postoperative inflammatory dynamics remain insufficiently defined.
Integration of machine learning and large language models for screening and identifying key risk factors of acute kidney injury after cardiac surgery
1 Introduction Acute kidney injury (AKI) is a common and serious clinical syndrome, especially among patients in the intensive care unit (ICU) (1). The occurrence of AKI not only significantly increases the patient’s hospitalization time and medical expenses, but is also closely related to high short-term and long-term mortality. According to statistics, the incidence of AKI in ICU patients can be as high as 40%–60%, with about 10%–15% of these patients requiring renal replacement therapy (RRT).
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