Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging

Not yet recruiting

• Conditions: Deep Learning,Lumbar Magnetic Resonance Imaging

• Registration Number: NCT06037057
• Lead Sponsor: RenJi Hospital

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

Detailed Description

Not available

Study Timeline

• Status Verified: 2023-09
• Study First Submitted: 2023-09-07
• Study First Submitted QC: 2023-09-07
• Last Update Submitted: 2023-09-07
• Study First Posted: 2023-09-14
• Last Update Posted: 2023-09-14
• Study Start: 2023-10-08
• Primary Completion: 2024-03-08
• Study Completion: 2024-03-08

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 40

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.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging	2025.3-2025.6	manuscript