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

Shanghai Jiao Tong University logo

Shanghai Jiao Tong University

Status

Not yet enrolling

Conditions

Deep Learning,Lumbar Magnetic Resonance Imaging

Treatments

Other: no intervention name

Study type

Observational

Funder types

Other

Identifiers

NCT06037057
LY2023-121-B

Details and patient eligibility

About

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

Enrollment

40 estimated patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

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.

Trial contacts and locations

0

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Data sourced from clinicaltrials.gov

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