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Research on a Deep Learning-Based Multimodal Interpretable Prognostic Model for Periodontitis

Research on a Deep Learning-Based Multimodal Interpretable Prognostic Model for Periodontitis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115249
Enrollment
Unknown
Registered
2025-12-24
Start date
2024-12-05
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Periodontitis prognosis

Interventions

Sponsors

The Second Affiliated Hospital of Nanchang University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Adults aged >=18 years; 2.Diagnosed with periodontitis according to the 2018 International Classification of Periodontal Diseases; 3.Completion of non-surgical periodontal therapy with available follow-up records for >=12 months post-treatment.

Exclusion criteria

Exclusion criteria: 1.Patients with PER images showing significant metal artifacts, severe blurring, or excessive noise; 2.Uncooperative patients or those who refuse clinical examinations; 3.Patients unable to complete the examination due to objective reasons.

Design outcomes

Primary

MeasureTime frame
Probing depth (PD);

Secondary

MeasureTime frame
Bleeding Index(BI);Purulent exudate;Furcation defect;Tooth Mobility;Gingival margin-CEJ distance;

Countries

China

Contacts

Public ContactSong Li

The Second Affiliated Hospital of Nanchang University

songli13607911969@126.com+86 791 8630 1002

Outcome results

None listed

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