Work

Development of an AI Platform for Advanced Breast Cancer Management

Year: 2024

Type: book-chapter

Abstract: 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.

Source: Studies in health technology and informatics

DOI: 10.3233/shti241095

Authors: Thomas Alassane Ouattara, Seydou Golo Barro, Pascal Staccini

Institutions: Université Côte d'Azur, Nazi Boni University

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Good health and well-being, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4404611689

FWCI: 0.687

Cites:

Cited by: 1

Related to: 10