Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging
Sponsor
RenJi Hospital (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT06037057
Collaborator
(none)
40
5
Study Details
Study Description
Brief Summary
To study the comparative analysis of artificial intelligence deep learning technology in the image quality of under-artificial intelligence (AI) reconstruction images and the original acquisition images of magnetic resonance lumbar spine
Condition or Disease | Intervention/Treatment | Phase |
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Study Design
Study Type:
Observational [Patient Registry]
Anticipated Enrollment
:
40 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging
Anticipated Study Start Date
:
Oct 8, 2023
Anticipated Primary Completion Date
:
Mar 8, 2024
Anticipated Study Completion Date
:
Mar 8, 2024
Outcome Measures
Primary Outcome Measures
- Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging [2025.3-2025.6]
manuscript
Eligibility Criteria
Criteria
Ages Eligible for Study:
18 Years
and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
- Patients of both sexes, aged ≥18 years, with no history of lumbar surgery, underwent lumbar magnetic resonance imaging examination.
Exclusion Criteria:
- With metal implants in the body, claustrophobic, unable to lie flat for 15 minutes, with a history of lumbar surgery.
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- RenJi Hospital
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.Responsible Party:
RenJi Hospital
ClinicalTrials.gov Identifier:
NCT06037057
Other Study ID Numbers:
- LY2023-121-B
First Posted:
Sep 14, 2023
Last Update Posted:
Sep 14, 2023
Last Verified:
Sep 1, 2023
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No