sing machine learning in the examination of dental X-rays to detect early tooth decay
Not Applicable
Completed
- Conditions
- Oral HealthDental caries
- Registration Number
- ISRCTN45982629
- Lead Sponsor
- Manchester Imaging Ltd
- Brief Summary
2021 non-peer-reviewed results in preprint https://doi.org/10.1101/2020.10.12.20211292 (added 15/02/2021)
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 1296
Inclusion Criteria
Study sites:
Use one of the dental digital imaging systems previously established as the most commonly used systems (in market research commissioned by the sponsor) at their dental practice.
Patients :
1. Bitewing radiograph clinically indicated as part of standard care
2. Informed consent to participation given
Exclusion Criteria
Patients:
Aged <16 years
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method To receive the required number and required mix of digital images from the majority of manufacturers/models of commercially-available dental digital imaging systems in the UK
- Secondary Outcome Measures
Name Time Method