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Evaluating predictive performance and generalizability of traditional and artificial intelligence models in predicting surgical site infections postspinal surgery: a systematic review

Laura C.M. Ndjonko, Aritra Chakraborty, Francesco Petri, Seyed Mohammad Amin Alavi, Takahiro Matsuo, Fabio Borgonovo, Işın Y. Comba, M. Hassan Murad, Ahmad Nassr, S Elzein, Elie F. Berbari

2025The Spine Journal5 citationsDOI

Topics & Concepts

MedicineReceiver operating characteristicDecision treeSystematic reviewLogistic regressionMachine learningStatisticGeneralizability theoryMeta-analysisArtificial intelligenceSpinal surgerySupport vector machinePredictive modellingMEDLINEStatisticsSurgeryComputer scienceInternal medicineMathematicsLawPolitical scienceSurgical site infection preventionInfectious Diseases and TuberculosisSepsis Diagnosis and Treatment
Evaluating predictive performance and generalizability of traditional and artificial intelligence models in predicting surgical site infections postspinal surgery: a systematic review | Litcius