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This paper presents an artificial intelligence (AI) model designed to predict strokes using computed tomography (CT) brain images. Stroke is one of the leading causes of mortality and disability in Senegal, where access to advanced diagnostic technologies is limited. The proposed AI system aims to assist radiologists by providing rapid, accurate stroke predictions and is integrated into a mobile application to support diagnosis in remote areas.

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Prediction of Stroke Using Brain Computed Tomography (CT) Images

  • 会议论文

  • 发表日期：

    2026年

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  • Seydou Nourou Sylla,
  • Sangoulé Ndao,
  • Adrien Bass

摘要

This paper presents an artificial intelligence (AI) model designed to predict strokes using computed tomography (CT) brain images. Stroke is one of the leading causes of mortality and disability in Senegal, where access to advanced diagnostic technologies is limited. The proposed AI system aims to assist radiologists by providing rapid, accurate stroke predictions and is integrated into a mobile application to support diagnosis in remote areas.