Study on the early identification of oral cancer based on deep learning and portable oral endoscopy

Oral Cancer Detection with Portable Oral Electronic Endoscope and Artificial Intelligence

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2400091654

Enrollment

Unknown

Registered

2024-10-31

Start date

2024-03-29

Completion date

Unknown

Last updated

2024-11-04

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

Conditions

oral cancer

Interventions

Positive group:oral cancer patients :NA

Negative group :,oral health patients:NA

Eligibility

Sex/Gender

All

Age

4 Years to 100 Years

Inclusion criteria

Inclusion criteria: (1) Pathological diagnosis of precancerous oral lesions (2) Pathological diagnosis of oral cancer (3) All patients have complete clinical records and follow-up data.

Exclusion criteria

Exclusion criteria: (1) Do not cooperate or be unable to obtain the patient's mouth photos. (2) blurred photos

Design outcomes

Primary

Measure	Time frame
accuracy rate ;	—

Countries

China

Contacts

Public ContactHaizhong Zhang

Chinese PLA General Hospital

zhanghaizhong@301hospital.com.cn+86 139 0110 4963

Outcome results

None listed

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