No specific clinical conditions are being investigated
Conditions
Interventions
Group 1: The aim of the project is to investigate whether it is possible to generate synthetic full-body or chest X-ray images from vital signs data, the diagnostic quality of which is sufficient to r
instead, existing vital signs and X-ray images are used, which were recorded previously as part of the treatment in the neonatal intensive care unit at Erlangen University Hospital.
Sponsors
Universitätskinderklinik Erlangen
Eligibility
Sex/Gender
All
Age
No minimum to 12 Months
Inclusion criteria
Inclusion criteria: X-ray in the neonatal intensive care unit
Exclusion criteria
Exclusion criteria: no X-rays in the neonatal intensive care unit
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The primary endpoint of the study is the quantitative and qualitative agreement between generated synthetic images and real-world whole-body X-ray images of neonatal patients. This agreement is assessed both using objective image analysis metrics and through a structured specialist medical evaluation. | — |
Secondary
| Measure | Time frame |
|---|---|
| Secondary endpoints include the diagnostic classification performance of the generated images in relation to clearly defined clinical questions, the determination of structural similarity metrics between real and synthetic images, and the assessment of image quality and diagnostic usability by experienced radiologists as part of a blinded review. | — |
Countries
Germany
Contacts
Public ContactHeiko Reutter
Universitätskinderklinik Erlangen
Outcome results
None listed