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Evaluation of an Artificial Intelligence Algorithm Reducing Noise on Fast Whole-body Bone Tomoscintigraphy Acquisitions Recorded by a 360 Degree Cadmium-Zinc-Tellurid Camera

NCT06782438 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2025-03-04

No results posted yet for this study

Summary

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

  • Bone Scan

Interventions

OTHER

artificial intelligence algorithm

to apply an artificial intelligence algorithm to treat the imaging

Sponsors & Collaborators

  • Central Hospital, Nancy, France

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-02-27
Primary Completion
2025-03-15
Completion
2025-03-30

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06782438 on ClinicalTrials.gov