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Application of artificial intelligence autofluorescence image recognition and analysis technology in oral precancerous lesions

An exploratory study on quantitative diagnostic criteria of artificial intelligence autofluorescence imaging technology to assess the risk of carcinogenesis in oral leukoplakia

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500101208
Enrollment
Unknown
Registered
2025-04-22
Start date
2023-12-08
Completion date
Unknown
Last updated
2025-04-28

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

Conditions

Oral leukoplakia

Interventions

Gold Standard:Histopathological diagnosis
Index test:Computer-aided autofluorescence image analysis software

Sponsors

Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Clinical and pathological diagnosis of potential malignant lesions of oral mucosa; 2. Age 18-75 years old; 3. Be able to voluntarily and truthfully provide the history of bad habits such as smoking and drinking; 4. Can cooperate with autofluorescence examination.

Exclusion criteria

Exclusion criteria: 1. Pathological diagnosis of cancer at the time of enrollment screening; 2. Pregnant or lactating women; 3. Other oral mucosal diseases and psychiatric patients.

Design outcomes

Primary

MeasureTime frame
The pathological grade (high risk of cancer/low risk of cancer) predicted by the network and the actual level of cancer;—

Countries

China

Contacts

Public ContactShi Linjun

Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine

drshilinjun@126.com+86 139 1746 1596

Outcome results

None listed

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