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

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06037057

Enrollment

Registered

2023-09-14

Start date

2023-10-08

Completion date

2024-03-08

Last updated

2023-09-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Deep Learning,Lumbar Magnetic Resonance Imaging

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

Interventions

OTHERno intervention name

no intervention description

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

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.

Design outcomes

Primary

Measure	Time frame	Description
Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging	2025.3-2025.6	manuscript

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026