Skip to content

Use of Artificial Intelligence to find out early Oral Cancer and Oral Cancer cases using smartphone based photographic images.

Use of Artificial Intelligence’s deep learning algorithm based Convolutional Neural Network for automatic types and detection of Oral Potentially Malignant Disorders and Oral Squamous Cell Carcinoma in smartphone based photographic images for early diagnosis A cross sectional study - NIL

Status
Active, not recruiting
Phases
Phase 3Phase 4
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2024/12/078020
Enrollment
176
Registered
2024-12-12
Start date
Unknown
Completion date
Unknown
Last updated
2025-02-03

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

Conditions

Health Condition 1: K132- Leukoplakia and other disturbancesof oral epithelium, including tongue

Interventions

Intervention1: Use of Artificial Intelligence’s deep learning algorithm based Convolutional Neural Network for automatic types and detection of Oral Potentially Malignant Disorders and Oral Squamous C

Sponsors

Dr Manjari Chaudhary
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Patients who are above 18 years of age, healthy people and subjects who are diagnosed clinically with OPMD or OSCC. 2. The OPMD cases will be divided into homogeneous which will be low risk cases and nonhomogeneous which will be high risk cases based on clinical manifestations.

Exclusion criteria

Exclusion criteria: Subjects who are undergoing treatment for OPMD or OSCC. 2. Subjects who are suffering from systemic diseases, severe internal accompanying diseases like Systemic Lupus Erythematosus (SLE), Discoid Lupus Erythematosus (DLE), HIV/AIDS, diagnosis of other tumours (for e.g.: laryngeal cancer or nasal cavity tumours

Design outcomes

Primary

MeasureTime frame
Automatic types and detection of Oral Potentially Malignant Disorders and Squamous Cell CarcinomaTimepoint: Time points-assessed at 4 weeks

Secondary

MeasureTime frame
automatic types and detection of Oral Potentially Malignant Disorders and Squamous Cell CarcinomaTimepoint: 3 months, 6 months

Countries

India

Contacts

Public ContactDr Manjari Chaudhary

Datta Meghe Institute of Higher Education and Research

dangore_suwarna@rediffmail.com9923024036

Outcome results

None listed

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