Application of artificial intelligence in the image diagnosis of potential malignant diseases of the oral cavity and prediction of the risk of canceration

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2500100684

Enrollment

Unknown

Registered

2025-04-14

Start date

2025-04-30

Completion date

Unknown

Last updated

2025-04-21

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

Conditions

Oral leukoplakia,Oral in situ carcinoma

Interventions

Gold Standard:Pathological diagnosis

Index test:Photograph the patients lesion site, record the lesion site and size, record the pathology report photo, and analyze it with computer AI software

Eligibility

Sex/Gender

All

Age

18 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1. Patients with clinical and pathological diagnosis of oral erythema, oral 2, vitiligo, oral lichen planus, oral submucosal fibrosis and other potential malignant lesions of the oral cavity such as oral erythema, oral 2, vitiligo, oral lichen planus, and oral submucosal fibrosis without abnormal hyperplasia, as well as squamous cell carcinoma; 3. Male or female aged 18-85 years old; 4. No hormonal, laser, radiation or chemical drug treatment; 5. Able to sign informed consent.

Exclusion criteria

Exclusion criteria: 1. Male or female under 18 years old and over 85 years old 2. Treated with hormones, lasers, radiation or chemical drugs 3. Unable to sign informed consent.

Design outcomes

Primary

Measure	Time frame
Photos of lesion sites;	—

Countries

China

Contacts

Public ContactXia Juan

hospital of stomatology,Sun Yat-sen University

xiajuan@mail.sysu.edu.cn+86 138 2605 9161

Outcome results

None listed

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