| Autor: |
Ouattara TA; Nazi Boni University, Bobo-Dioulasso, Burkina Faso.; Center for Training and Research in Medical Technology (CFRTM), Burkina Faso.; RETINES/University Côte d'Azur, France., Barro SG; Nazi Boni University, Bobo-Dioulasso, Burkina Faso.; Center for Training and Research in Medical Technology (CFRTM), Burkina Faso.; RETINES/University Côte d'Azur, France., Staccini P; RETINES/University Côte d'Azur, France. |
| Jazyk: |
angličtina |
| Zdroj: |
Studies in health technology and informatics [Stud Health Technol Inform] 2024 Nov 22; Vol. 321, pp. 215-219. |
| DOI: |
10.3233/SHTI241095 |
| Abstrakt: |
This article explores the transition from a traditional histopathological examination system to an innovative platform using artificial intelligence (AI) for breast cancer detection from histopathological images in Burkina Faso. The existing system is analyzed in detail, highlighting the steps of querying, sample preparation, analysis by the pathologist, and validation by the physician. From this analysis, the needs and challenges are identified, emphasizing the opportunities for AI to improve the efficiency and accuracy of the diagnosis. The design of the AI platform is then presented, including data collection, AI model development, and its integration into existing processes. Finally, the expected results and implications for improving healthcare in Burkina Faso are discussed, highlighting the potential benefits and challenges to overcome for the successful adoption of this promising technology. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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