Seydou Golo Barro, Thomas Alassane Ouattara, Pascal Staccini
{"title":"Android AI Application for Advanced Breast Cancer Detection in Burkina Faso.","authors":"Seydou Golo Barro, Thomas Alassane Ouattara, Pascal Staccini","doi":"10.3233/SHTI250041","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"26-30"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in health technology and informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI250041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.