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Screening of Tobacco consuming participants using an artificial intelligence-based mobile application for the early detection of oral potentially malignant disorders and oral cancer & referral to designated health care centers.

Screening of Tobacco users using artificial intelligence-based mobile application for the early detection & referral of oral potentially malignant disorders (OPMDs) and oral cancer to designated health care centres. - Screening of Tobacco users using artificial intelligence-based mobile application

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/11/076603
Enrollment
10500
Registered
2024-11-11
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: C01- Malignant neoplasm of base of tongue Health Condition 2: C049- Malignant neoplasm of floor of mouth, unspecified Health Condition 3: C039- Malignant neoplasm of gum, unspecified Health Condition 4: C005- Malignant neoplasm of lip, unspecified, inner aspect Health Condition 5: C069- Malignant neoplasm of mouth, unspecified

Interventions

None listed

Sponsors

Oraicle Biosciences Limited
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: A subject will be considered eligible in this study only if All of the following criteria apply: 1. Subject (or LAR) understands and agrees to comply with planned study procedures and provides informed consent before initiating study procedures. 2. Male or Female adults equal to or more than 18 to 65 years of age at the time of screening and enrolment. 3. Subjects with 1 or more than 1 year tobacco consumption history.

Exclusion criteria

Exclusion criteria: A subject will not be eligible for inclusion in this study if ANY of the following criteria apply: 1.Subject having any other reason which may interfere with the study in the opinion of the Principal Investigator. 2.Subject is blind or falls under the category of vulnerable population. e.g., members of a group with hierarchical structure (e.g. prisoners armed forces personnel, staff and students of medical, nursing and pharmacy academic institutions), patients with incurable diseases, unemployed or impoverished persons, patients in emergency situation, ethnic minority groups, homeless persons, nomads, refugees, minors or other incapable of personally giving consent. 3.Cancer subjects operated with reconstructive (flap) surgery. 4.Subject with pre diagnosed lesion and under treatment or evaluation 5.If the subject’s mouth does not open wide enough for oral cavity examinations and image acquisition. 6.Subjects with unclear oral lesion images. 7.If the subject has been operated for oral cancer/ or any other oral mucosal lesions. 8.Pregnant or breast-feeding female subjects.

Design outcomes

Primary

MeasureTime frame
To screen tobacco users using artificial intelligence-based mobile application for detection and referral of the suspected potentially malignant and cancerous lesions to the designated health care centres.Timepoint: At Baseline

Secondary

MeasureTime frame
1.To categorize the screened lesions as non-cancerous, potentially malignant disorders and cancerous as detected by AI based mobile application. 2.To evaluate the sensitivity of AI based mobile application detecting potentially malignant disorders or cancerous lesions using the opinion of the Trained Clinicians. 3.To collect and analyse feedback of the Research team on the utility of AI based mobile application in terms of user friendliness, challenges if any. Timepoint: At Baseline & Day 3

Countries

India

Contacts

Public ContactMr Ayan Neogi

Oraicle Biosciences Limited

gaurav@oraiclebio.com8355906632

Outcome results

None listed

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