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Cervical pre-cancerous lesion detection: development of smartphone-based VIA application using artificial
Ali Budi Harsono1, Hadi Susiarno1, Dodi Suardi1
1Department of Obstetrics and Gynaecology, Faculty of Medicine, Universitas Padjajaran, Jl. Pasteur 38, Bandung, West Java, 40161, Indonesia.
BMC Research Notes
|December 3, 2022
Summary
An AI-powered Android app was developed to automatically detect cervical cancer using visual inspection after acetic acid application (VIA). This tool shows promise for improving cervical cancer screening accuracy in resource-limited settings.
Area of Science:
- Medical technology
- Artificial intelligence in healthcare
- Oncology
Background:
- Visual inspection after acetic acid application (VIA) is a cervical cancer screening alternative in resource-limited areas.
- VIA accuracy is often limited by examiner experience and inconsistent healthcare worker training.
Purpose of the Study:
- To develop an artificial intelligence (AI)-based Android application for automated VIA result determination.
- To create a potential healthcare support system for real-time cervical cancer screening.
Main Methods:
- Smartphone images of the cervix before and after VIA were collected from 199 women.
- An AI model was trained using image pre-processing, feature extraction, and classifier development.
- The AI model was evaluated on 65 test images.
Main Results:
- The AI model achieved a sensitivity of 80%, specificity of 96.4%, and accuracy of 93.8%.
- The receiver operating characteristic/area under the curve (ROC/AUC) was 0.85.
- The AI application demonstrated potential for aiding cervical cancer screening.
Conclusions:
- An AI-based Android application can automatically determine VIA results in real time.
- This technology may enhance cervical cancer screening, particularly in underserved regions.
- Further development could establish this as a valuable healthcare support system.
