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Develop and Research of AI Assist CBCT Recoginition and Diagosis System

Develop and Research of AI Assist CBCT Recoginition and Diagosis System

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200062494
Enrollment
Unknown
Registered
2022-08-09
Start date
2022-07-27
Completion date
Unknown
Last updated
2023-04-12

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

Conditions

Common oral disease

Interventions

1:None

Sponsors

Hong Kong University Shenzhen Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 100 Years

Inclusion criteria

Inclusion criteria: 1. Include only CBCT images of patients who visited dentist of Hong Kong University Shenzhen Hospital Department of Dentistry.

Exclusion criteria

Exclusion criteria: 1. Exclude patial CBCT image; 2. Exclude blurred CBCT image; 3. Exclude CBCT image with severe artifact caused by reasons like multiply implants in mouth.

Design outcomes

Primary

MeasureTime frame
Accuracy;—

Countries

China

Contacts

Public ContactGary Shun Pan Cheung

Hong Kong University Shenzhen Hospital

zhangshb@hku-szh.org+86 13688815440

Outcome results

None listed

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