None listed
Conditions
Interventions
Intervention1: Nil: Nil
Intervention2: Nil: Nil
Intervention3: Nil: Nil
Sponsors
Ministry of Education
Biocon Foundation
Cisco IISc Centre for Networked Intelligence
Kotak IISc AI ML Center
Eligibility
Inclusion criteria
Inclusion criteria: 1: Individuals with current or past habit of alcohol, smoking, smokeless tobacco, and areca nut. Individuals with self-reported/identified oral lesions, even without habit.. 2. Health care providers at various levels in the study sites (Doctors, nurses, health workers, ASHA) and NCD Program managers at district/state /national level
Exclusion criteria
Exclusion criteria: 1. Individuals with transmissible infections. 2. Individuals not willing to provide consent to participate.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To describe the acceptability, feasibility, usability and fidelity of an AI-assisted oral cancer screening tool in selected HWCs/PHCs.Timepoint: 24 months | — |
Secondary
| Measure | Time frame |
|---|---|
| To determine the yield of oral cancer using an AI-based screening approach among adults aged 30 69 years screened for oral cancerTimepoint: 24 months;To identify the barriers and facilitators in scaling the use of the AI tool at scale in the primary healthcare systemTimepoint: 24 months;To develop an advanced AI model to further distinguish suspicious oral lesions as either low- or highrisk lesionsTimepoint: 24 months;To conduct a Health Technology Assessment (HTA) to understand cost-effectiveness of the AI based Aarogya Aarohan tool Timepoint: 24 months;To develop a digital public infrastructure for screened patient navigation.Timepoint: 24 months | — |
Countries
India
Contacts
Public ContactPrabhdeep Kaur
Indian Institute of Science
Outcome results
None listed