Android AI Application for Advanced Breast Cancer Detection in Burkina Faso

The adaptation of a breast cancer detection platform based on artificial intelligence, designed for use on Android devices, is an initiative driven by the particular challenges faced in Africa, where access to computers is often limited due to their high cost and limited availability, a significant issue in Burkina Faso. It is especially crucial to find tailored and more efficient solutions for healthcare professionals in such environments. This mobile adaptation aims to make this advanced technology more accessible to healthcare professionals across the country, with mobile devices being far more common and accessible, with around 86% coverage in Burkina Faso. Our goal is to simplify the work of pathologists by enabling them to benefit from the advantages of AI for early and accurate breast cancer detection, directly from mobile devices, without requiring expensive infrastructure.

Authors

Institutions

Publication Details

Journal
Studies in health technology and informatics
Published
2025-04-08
DOI
https://doi.org/10.3233/shti250041
Citations
1
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
4.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Android AI Application for Advanced Breast Cancer Detection in Burkina Faso

Seydou Golo Barro, Pascal Staccini, Thomas Alassane Ouattara
1 citations
Studies in health technology and informatics
AI in cancer detection
4.74
article

Android AI Application for Advanced Breast Cancer Detection in Burkina Faso

Seydou Golo Barro, Pascal Staccini, Thomas Alassane Ouattara
article en
1 citations

Abstract

The adaptation of a breast cancer detection platform based on artificial intelligence, designed for use on Android devices, is an initiative driven by the particular challenges faced in Africa, where access to computers is often limited due to their high cost and limited availability, a significant issue in Burkina Faso. It is especially crucial to find tailored and more efficient solutions for healthcare professionals in such environments. This mobile adaptation aims to make this advanced technology more accessible to healthcare professionals across the country, with mobile devices being far more common and accessible, with around 86% coverage in Burkina Faso. Our goal is to simplify the work of pathologists by enabling them to benefit from the advantages of AI for early and accurate breast cancer detection, directly from mobile devices, without requiring expensive infrastructure.

Studies in health technology and informaticsVol. 323
Nazi Boni University (BF), Cognition Behaviour Technology (FR)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
AI in cancer detection
4.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.