Actively Recruiting
Evaluation of an Artificial Intelligence Algorithm Reducing Noise on Fast Whole-body Bone Tomoscintigraphy Acquisitions Recorded by a 360 Degree Cadmium-Zinc-Tellurid Camera
Led by Central Hospital, Nancy, France · Updated on 2025-03-04
20
Participants Needed
1
Research Sites
4 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Recently, artificial intelligence algorithms reducing noise by deep learning have been developed with application to SPECT and PET images. Many studies have reported the possibility of reducing the recording time in bone scintigraphy by applying artificial intelligence algorithms reducing noise
CONDITIONS
Official Title
Evaluation of an Artificial Intelligence Algorithm Reducing Noise on Fast Whole-body Bone Tomoscintigraphy Acquisitions Recorded by a 360 Degree Cadmium-Zinc-Tellurid Camera
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients who had a whole-body three-dimensional bone scan for rheumatological or oncological indications.
You will not qualify if you...
- Patients opposed to the use of their data
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Nuclear Medicine Department
Vandœuvre-lès-Nancy, France, 54511
Actively Recruiting
Research Team
A
Achraf BAHLOUL, MD
CONTACT
V
Véronique ROCH, MSc
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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