AI-assisted VIA Screening of Cervical Cancer

AI-assisted VIA Screening of Cervical Cancer

This project aims to research and develop AI-assisted VIA screening using mobile-captured photos to build a more consistent and accurate smartphone-based cervical cancer screening tool that can be used by nurses and community health workers as an assistive tool.

 

PROBLEM:

  • Cervical cancer is the fourth-most common cancer among women globally that leads to 90% deaths LMICs.
  • Can be easily cured if diagnosed at an early stage and treated properly but Nepal lacks the accessibility in early-stage screenings.
  • VIA (Visual Inspection Using Acetic Acid), is a simpler, inexpensive & accessible test that can be adapted suitably for low-resource settings
  • But VIA is subjective, that is dependent on human expertise which is often unavailable in low-resource settings such as primary and community health care settings.

 

OUR PROPOSAL:

  • To research and develop AI-assisted VIA screening using mobile captured photos.
  • To build more consistent and accurate smartphone based cervical cancer screening tool that can be used by nurses and community health workers.

 

PROJECT STATUS:

  • Initial stage of data collection – capturing multiple images over the span of one minute and ongoing validation studies.
  • Three different health camps have been set up to follow the data collection protocol 57 patients from these camps have been a part of the validation study VIA test conducted on 758 patients so far.
  • (Target: 1500 patients).
  • To reduce the limitations, we plan to establish an open-source database portal for other people to contribute as well and make the screening as applicable and accurate as possible with the help of the AI- model
    Further aim to design a mobile application that can be used for testing in hospitals and low-resource  settings.

 

PROJECT Co-LEADS:

Dr. Bishesh Khanal, NAAMII

Dr. Archana Shrestha, IISH

 

 

PROJECT TEAM:

Kanchan Poudel, Research Assistant

IISH members

 

FUNDED BY:

Korea International Cooperation Agency (KOICA)

 

CLINICAL PARTNERS:

  • Institute for Implementation Science & Health (IISH)

 

  • Budhanilakantha Municipality

 

More Details on Poster.

Research Themes: Transforming Global health with AI (TOGAI)
Project Category: Computer Vision, Machine Learning, Medical Imaging