Advancing spine connectomics and neural integration through machine learning and neuroengineering: a narrative review.

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Bibliographic Details
Title: Advancing spine connectomics and neural integration through machine learning and neuroengineering: a narrative review.
Authors: Kumar R; University of Massachusetts Chan Medical School, Worcester, USA. rahul.kumar5@umassmed.edu., Kaur H; University of Massachusetts Chan Medical School, Worcester, USA., Sporn K; SUNY Upstate Medical University, Syracuse, USA. spornk@upstate.edu., Salman SG; Baylor College of Medicine, Houston, USA. samer.salman@bcm.edu., Phadke R; Baylor College of Medicine, Houston, USA. rohan.phadke@bcm.edu., Sarnala S; Baylor College of Medicine, Houston, USA., Vaja S; Midwest Orthopaedics, Rush University Medical Center, Chicago, USA. swapna_vaja@rush.edu., J Lee N; Department of Neuroimmunology, Johns Hopkins Medicine, Baltimore, USA., Lee NJ; Midwest Orthopaedics, Rush University Medical Center, Chicago, USA.
Source: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society [Eur Spine J] 2026 Jul 23. Date of Electronic Publication: 2026 Jul 23.
Publication Type: Journal Article; Review
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 9301980 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0932 (Electronic) Linking ISSN: 09406719 NLM ISO Abbreviation: Eur Spine J Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-0932
DOI:10.1007/s00586-026-10215-9