None listed
Conditions
Interventions
Intervention1: Artificial Intelligence (AI) based Machine Learning-enabled automatic assessment of VIA-VILI images: Blinded auto-assessment of digital cervical VIA-VILI images captured with trans vag
Sponsors
Periwinkle Technologies Pvt Ltd
Eligibility
Inclusion criteria
Inclusion criteria: 1. Sexually active women 2. Age between 25 and 65 years 3. Those who have volunteered for Smart Scope test in routine OPD or in specially arranged health camps
Exclusion criteria
Exclusion criteria: 1. Pregnant women 2. Women with prior colposcopy or any other cervical / vaginal / uterine procedure done within the last one month 3. Women with vaginal bleeding or earlier known frank cancer 4. Women who have had hysterectomy
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Auto assessment and manual assessment of digital images obtained using Smart Scope into three categories viz., normal (green) / abnormal benign changes (amber) / pre-cancerous & cancerous changes (red).Timepoint: Immediately after screening by VIA with 5% Acetic acid and VILI by Lugols Iodine | — |
Secondary
| Measure | Time frame |
|---|---|
| Categorization by auto assessment of digital images of VIA-VILITimepoint: During Smart Scope aided VIA-VILI Test;Categorization into three categories ie. Green/ Amber/ Red among women screened by manual assessment of digital VIA-VILI imagesTimepoint: During Smart Scope aided VIA-VILI Test;Confirmation of CIN and CA cases by conventional colposcopyTimepoint: During standard colposcopy;Histopathology confirmed Cervical Intraepithelial neoplasiaTimepoint: After histo-pathology report of sample taken during colpo-guided biopsy | — |
Countries
India
Contacts
Public ContactMs Veena Moktali
Periwinkle Technologies Pvt. Ltd.,
Outcome results
None listed