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Development of artificial intelligence-based infrared thermographic software for the diagnosis of lumbosacral radiculopathy

Development of artificial intelligence-based infrared thermographic software for the diagnosis of lumbosacral radiculopathy

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0006880
Enrollment
1600
Registered
2021-12-30
Start date
2021-07-21
Completion date
Unknown
Last updated
2022-01-11

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

Conditions

None listed

Interventions

None listed

Sponsors

National Health Insurance Service Ilsan Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Between 1st May 2013 and 30th June 2023, patients who diagnosed as lumbar disc herniation and performed DITI of both leg.

Exclusion criteria

Exclusion criteria: patients with follow-up loss

Design outcomes

Primary

MeasureTime frame
Temperature difference between case and control group—

Secondary

MeasureTime frame
AI based diagnosis of lumbar radiculopathy in case group—

Countries

Korea, Republic of

Contacts

Public ContactSeong Son

Gachon University Gil Medical Center

sonseong@gilhospital.com+82-32-460-3304

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026