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Validity and Accuracy of a Machine Learning Predictive Model in the Exploitation of Patients Related Outcomes in Spine Surgery
Sponsor: Cortexx Medical Intelligence
Summary
The objective of the study is the establishment, optimization and prospective evaluation of a digital predictive platform capable of providing for each lumbar spine operated patient a clinical predictive status: Patient green (success) orange (treatment failure ), red patient (complication) in order to optimize his medical care up to 6 months.
Official title: Validity and Accuracy of a Machine Learning Predictive Model in the Exploitation of Patients Related Outcomes in Spine Surgery Multicenter Longitudinal Prospective Study on a National Cohort Clinical Evolution After Lumbar Surgery
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
174
Start Date
2021-09-01
Completion Date
2023-01-31
Last Updated
2026-10-22
Healthy Volunteers
No
Interventions
SuMO Patient
The current study is interventional insofar as the patient is collecting all of his socio-medical information. The analysis of the data provided by the patient makes it possible to establish a long-term prognosis for the patient but does not in itself constitute a parallel medical approach. SUMO allows the surgeon to transmit post-operative advice developed by the surgeons themselves.
Locations (2)
Polyclinique Jean Villar
Bruges, New Aquitaine, France
Clinique Geoffroy Saint-Hilaire
Paris, Île-de-France Region, France