Early Discrimination of Periprosthetic Hip Infections Using Neural Networks (SEPTIC-ANNR)

CompletedOBSERVATIONAL
Enrollment

36

Participants

Timeline

Start Date

October 3, 2019

Primary Completion Date

January 20, 2024

Study Completion Date

January 20, 2024

Conditions
Hip Prosthesis Infection
Interventions
DIAGNOSTIC_TEST

cellular neural networks-genetic algorithm

Cellular neural networks-genetic algorithm applied to conventional radiographs of hip implants with a well-established diagnosis of loosening. The study is not intended to use a software without a CE mark as a medical device, or to use the software as a tool to diagnose or prevent human disease, according to Directive 93/42 / European Economic Community. The study will evaluate if the software, properly calibrated, is able to recognize with adequate accuracy infections already diagnosed with validated methods.

Trial Locations (1)

40136

IRCCS Istituto Ortopedico Rizzoli, Bologna

All Listed Sponsors
collaborator

Università degli studi di Messina

UNKNOWN

lead

Istituto Ortopedico Rizzoli

OTHER

NCT04119804 - Early Discrimination of Periprosthetic Hip Infections Using Neural Networks (SEPTIC-ANNR) | Biotech Hunter | Biotech Hunter