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
  • Other: no intervention name

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

  1. 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

Study Results

No Results Posted as of Sep 14, 2023