SAKSHI - Smartphone Augmented Cervical Selfie: An Innovative Tool for Low-Resource Settings for the Prevention of Cervical Cancer
ISEF · 2024 Biomedical Engineering
Overview
Cervical cancer is the leading cause of death among women due to cancer in the developing world. India contributes to 25% of these cancers. In low-resource settings, visual inspection with the naked eye after the application of acetic acid (VIA) is recommended. However, the accuracy of this test is limited by the skill of the health worker performing it. In our innovation SAKSHI, we implemented a smartphone-based telemedicine system that captured augmented images of the cervix and shared these images and relevant clinical data using the Kobocollect app with professional experts. Our device was tested by a collection of cervical images both by colposcopy and cervical selfie in 25 women. We tested the technical feasibility and compared images regarding clarity, brightness, and magnification. Also further, we aim to create a database of these images that can be used in AI identification. ?It was noted that the images procured on the smartphone were of excellent diagnostic quality. Upon being marked on a score of 5 the images taken on the colposcope were scored to be of excellent quality at 5/5, however, SAKSHI was not far behind at 4/5. Assessment by SAKSHI was adequate in all 25 patients. The present protocol ensures quality workflow with remote supervision in rural settings utilising the resources already available at the ground level. It offers portability and minimal maintenance and cost. ?
Competition history
- ISEF 2024
Resources
Related projects
ISEF · 2022
Mouthscope: Autonomous Detection of Oral Precancerous Lesions Using Fluorescent-Imaging and Computer-Vision
ISEF · 2026
BiQancer: A Novel Quantitative Mathematical Biomarker and Automated End-to-End System for Decentralized Cervical Pre-Cancer Detection
ISEF · 2025
Deep-Learning Based Solution for Male Reproductive Health Self-Evaluation at Home
ISEF · 2022
Smart Leukemia Labs: A Low-Cost Microscope and Diagnostic Tool That Use Semantic Segmentation, Image Processing and Object Detection To Detect Acute Lymphoblastic Leukemia
Closest projects by meaning, across every fair and year in the corpus.
Source: Regeneron International Science and Engineering Fair