A cutting-edge AI model demonstrated significant accuracy in detecting post-hepatectomy liver failure (PHLF) within the first 24 hours post-surgery. The model achieved an AUC of 0.952 in internal validation and 0.884 in external validation among 1,832 patients across six Chinese hospitals. Moreover, it outperformed existing algorithms in challenging cases, showing an AUC of 0.654 within a Western cohort with incomplete health records. This innovation could revolutionize perioperative management of PHLF, enhancing patient outcomes.
Journal Article by Wang K, Yang Q (…) Si W et 17 al. in EClinicalMedicine
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