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The purpose of this study is to evaluate the effect of Deep learning and Cloud based solution for designing dental crown on the accuracy of dental prosthesis. Prostheses are designed by dental professional software(Exocad DentalCAD 3.0 Galway; Exocad, Darmstadt, Germany) and AI-based automated software(Dentbird; Imagoworks, Seoul, Korea). Afterwards, the designs are converted to resin prostheses using 3D printing. The fit accuracy of crowns are measured at the delivery of prostheses in clinic.

Deep learning and Cloud based solution for designing dental crown

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0008795
Enrollment
30
Registered
2023-09-13
Start date
2023-09-04
Completion date
Unknown
Last updated
2023-09-18

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

Kyungpook National University Dental Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients who require crown prosthesis

Exclusion criteria

Exclusion criteria: Patients who require removable prosthesis

Design outcomes

Primary

MeasureTime frame
fit accuracy of prosthesis

Secondary

MeasureTime frame
occlusion

Countries

Korea, Republic of

Contacts

Public ContactDU HYEONG LEE

Kyungpook National University Dental Hospital

deweylee@knu.ac.kr+82-53-600-7676

Outcome results

None listed

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