Literature DB >> 27879504

Database Research in Spine Surgery.

Arjun S Sebastian1.   

Abstract

With the introduction of several publicly available national databases to study surgical outcomes, the use of such databases for spine surgery research has increased dramatically. These databases allow researchers to retrospectively examine data from a large sample of patients. This rise in the use of national databases to study surgical outcomes parallels an increasing reliance by administrators, payers, and third-party graders to evaluate surgical quality with the use of large administrative databases. A good understanding of the most commonly utilized databases for spine surgery is important for critical assessment of this growing body of literature.

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Year:  2016        PMID: 27879504     DOI: 10.1097/BSD.0000000000000464

Source DB:  PubMed          Journal:  Clin Spine Surg        ISSN: 2380-0186            Impact factor:   1.876


  3 in total

1.  Comparing short-term AIS post-operative complications between ACS-NSQIP and a surgeon study group.

Authors:  Jennifer M Bauer; Suken A Shah; Paul D Sponseller; Amer F Samdani; Peter O Newton; Michelle C Marks; Baron S Lonner; Burt Yaszay
Journal:  Spine Deform       Date:  2020-07-27

Review 2.  Artificial Intelligence-Driven Prediction Modeling and Decision Making in Spine Surgery Using Hybrid Machine Learning Models.

Authors:  Babak Saravi; Frank Hassel; Sara Ülkümen; Alisia Zink; Veronika Shavlokhova; Sebastien Couillard-Despres; Martin Boeker; Peter Obid; Gernot Michael Lang
Journal:  J Pers Med       Date:  2022-03-22

Review 3.  An Evolution Gaining Momentum-The Growing Role of Artificial Intelligence in the Diagnosis and Treatment of Spinal Diseases.

Authors:  Andre Wirries; Florian Geiger; Ludwig Oberkircher; Samir Jabari
Journal:  Diagnostics (Basel)       Date:  2022-03-29
  3 in total

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