Spine surgeon versus AI algorithm full-length radiographic measurements: a validation study of complex adult spinal deformity patients.
Jason J HaselhuhnPaul Brian O SorianoPriyanka GroverMarcel DreischarfKari OdlandNathan R HendricksonKristen E JonesChristopher T MartinJonathan N SembranoDavid W PollyPublished in: Spine deformity (2024)
The AI algorithm presented here demonstrates excellent reliability for most of the parameters and good reliability for PI, with ICC values corresponding to measurements conducted by experienced surgeons. In future, it may facilitate the analysis of large data sets and aid physicians in diagnostics, pre-operative planning, and post-operative quality control.
Keyphrases
- quality control
- end stage renal disease
- machine learning
- artificial intelligence
- deep learning
- ejection fraction
- primary care
- newly diagnosed
- chronic kidney disease
- spinal cord
- prognostic factors
- peritoneal dialysis
- quality improvement
- electronic health record
- spinal cord injury
- young adults
- robot assisted
- minimally invasive
- patient reported