Daniel Haschtmann
Schulthess Clinic, ZüRICH, Switzerland
Abstracts this author is a contributor to:
Development of a machine-learning based model for predicting multidimensional outcome after surgery for degenerative disorders of the spine (#1113)
2:30 PM
Anne F Mannion
GENERAL POSTER SESSION
A "crosswalk" for converting scores between two commonly used condition-specific, patient-reported spine outcome measures, the Oswestry Disability Index (ODI) and the Core Outcome Measures Index (COMI) (#138)
7:45 AM
Anne F Mannion
Special Poster Session 2I TEST AND GUIDE
Machine-learning based model predicts significantly inferior postoperative outcome in patients who drop out at follow-up (#123)
7:52 AM
Anne F Mannion
Special Poster Session 2F. ARTIFICIAL INTELLIGENCE AND NOVEL TECHNOLOGIES
Validation of an automated, artificial-intelligence-based system for grading radiological features of degeneration on MRIs of the lumbar spine (#75)
11:07 AM
Alexandra Grob
SESSION #14 - ARTIFICIAL INTELLIGENCE AND NOVEL TECHNIQUE