开发用于晚期乳腺癌管理的人工智能平台。

Thomas Alassane Ouattara, Seydou Golo Barro, Pascal Staccini
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引用次数: 0

摘要

本文探讨了布基纳法索从传统的组织病理学检查系统过渡到使用人工智能(AI)从组织病理学图像检测乳腺癌的创新平台的过程。文章详细分析了现有系统,重点介绍了查询、样本准备、病理学家分析和医生验证等步骤。通过分析,确定了需求和挑战,强调了人工智能提高诊断效率和准确性的机会。然后介绍了人工智能平台的设计,包括数据收集、人工智能模型开发及其与现有流程的整合。最后,讨论了预期成果和对改善布基纳法索医疗保健的影响,强调了成功采用这一前景广阔的技术的潜在好处和需要克服的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an AI Platform for Advanced Breast Cancer Management.

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.

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