Validation and Optimization of Diagnostic Model, A Dental Disease Detection System based on Artificial Intelligence

Status

Recruiting

Phases

Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2300073487

Enrollment

Unknown

Registered

2023-07-12

Start date

2023-05-04

Completion date

Unknown

Last updated

2023-07-16

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

Conditions

Caries

Interventions

Gold Standard:ICDAS score and plaque index

KaVo DIAGNOdent 2095

Index test: A Dental Disease Detection System based on Artificial Intelligence

Eligibility

Sex/Gender

All

Age

6 Years to 80 Years

Inclusion criteria

Inclusion criteria: ? Clinical diagnosis of at least one tooth with ICDAS score greater than or equal to 1 or periodontal disease or plaque index or tartar index greater than or equal to 1 in the mouth. ? Complete clinical examination data, intraoral image data, demographic data and oral hygiene questionnaire.

Exclusion criteria

Exclusion criteria: ? Orthodontic treatment is being performed. ? Crowding of teeth, resulting in over 1/3 of the tooth surface cannot be photographed. ? Severe periodontal disease (punctate bleeding or spontaneous bleeding). ? Presence of abnormal tooth color and obvious dental malformation. ? Inability or refusal to cooperate with the use of plaque color developer. (6) Restricted mouth opening, mouth opening less than 2cm. ? The presence of temporomandibular joint disorder causing prolonged mouth opening pain.

Design outcomes

Primary

Measure	Time frame
Accuracy;Specificity;Sensitivity;	—

Countries

China

Contacts

Public ContactLe Yang

Department of Oral and Maxillofacial Surgery, Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University

yangle8@mail.sysu.edu.cn+86 134 2750 2019

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 6, 2026