Multimodal machine learning for predicting perioperative safety indicators in spinal surgery.
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| Title: | Multimodal machine learning for predicting perioperative safety indicators in spinal surgery. |
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| Authors: | Mani K; Albert Einstein College of Medicine, Bronx, NY, USA., Scharfenberger T; Albert Einstein College of Medicine, Bronx, NY, USA., Goldman SN; Albert Einstein College of Medicine, Bronx, NY, USA., Kleinbart E; Albert Einstein College of Medicine, Bronx, NY, USA., Mostafa E; Department of Orthopaedic Surgery, Montefiore Medical Center, Bronx, NY, USA., Ramos RG; Department of Neurological Surgery, Montefiore Medical Center, Bronx, NY, USA., Fourman MS; Department of Orthopaedic Surgery, Montefiore Medical Center, Bronx, NY, USA., Eleswarapu A; Department of Orthopaedic Surgery, Montefiore Medical Center, Bronx, NY, USA. Electronic address: aeleswarap@montefiore.org. |
| Source: | The spine journal : official journal of the North American Spine Society [Spine J] 2025 Nov; Vol. 25 (11), pp. 2450-2460. Date of Electronic Publication: 2025 Mar 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Science Inc Country of Publication: United States NLM ID: 101130732 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-1632 (Electronic) Linking ISSN: 15299430 NLM ISO Abbreviation: Spine J Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1878-1632 |
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| DOI: | 10.1016/j.spinee.2025.03.021 |
