Using machine learning in the examination of dental X-rays to detect early tooth decay

Dental Digital Bitewing Radiograph Study: DDBRS

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

ISRCTN

Registry ID

ISRCTN45982629

Enrollment

1500

Registered

2020-03-03

Start date

2018-05-27

Completion date

Unknown

Last updated

2021-03-01

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

Conditions

Dental caries Oral Health Dental caries

Interventions

This study will collect anonymized digital bitewing radiographs from the patients of UK general dental practitioners (GDPs/dentists) as part of the normal standard of care to assist this learning proc

Eligibility

Sex/Gender

All

Inclusion criteria

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

Exclusion criteria: Patients: Aged <16 years

Design outcomes

Primary

Measure	Time frame
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	—

Countries

United Kingdom

Outcome results

None listed

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