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Research and clinical application of intelligent design system for orthognathic surgery based on deep learning

Research and clinical application of intelligent design system for orthognathic surgery based on deep learning

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR1900026533
Enrollment
Unknown
Registered
2019-10-13
Start date
2019-10-15
Completion date
Unknown
Last updated
2019-10-14

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

Conditions

Dental maxillofacial deformity

Interventions

Two groups:AI composite board versus conventional digital composite board

Sponsors

West China College of Stomatology, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: (1) the patient was diagnosed as bony malocclusion; (2) surgery procedures for bilateral mandibular sagittal split operation team (as sagittal split ramus osteotomy, BSSRO) and Lefort-I osteotomy; (3) aged 18-35 years; (4) patients sign informed consent.

Exclusion criteria

Exclusion criteria: (1) patients with systemic diseases; (2) patients with cleft lip and palate or jaw deformity secondary to facial trauma.

Design outcomes

Primary

MeasureTime frame
Fitting difference of bone segments before and after operation;

Countries

China

Contacts

Public ContactLuo En

West China College of Stomatology, Sichuan University

1282652699@qq.com+86 18100804297

Outcome results

None listed

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