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Development of Automated Surgical Techniques for Musculoskeletal Disorders Based on AI and Big Data Analysis

Development of Automated Surgical Techniques for Musculoskeletal Disorders Based on AI and Big Data Analysis

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0009662
Enrollment
1000000
Registered
2024-08-01
Start date
2024-06-14
Completion date
Unknown
Last updated
2024-08-19

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

Jeonbuk National University Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: - Patients using the orthopedics department at Chonbuk National University Hospital - Medical records of orthopedic patients from January 2004 to April 26, 2024

Exclusion criteria

Exclusion criteria: Data deemed unsuitable for participation in the clinical study by the investigator for other reasons

Design outcomes

Primary

MeasureTime frame
X-ray images—

Secondary

MeasureTime frame
Presence or absence of surgery and information on implantable medical devices—

Countries

Korea, Republic of

Contacts

Public ContactKim Hye Sung

Jeonbuk National University Hospital

kimhs@ccmdrc.or.kr+82-63-247-9892

Outcome results

None listed

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