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2025 Posters

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Localization and Contextualization of AI in Healthcare

Deep Learning for Automated Detection of Periportal Fibrosis in Ultrasound Imaging: Improving Diagnostic Accuracy in Schistosoma Mansoni Infection

Submitted by: Alex Mutebe, Bakhtiyar Ahmed, Agnes Natukunda, Simon Mpooya, Emily Webb, Andrew Abaasa , Ayoub Kakande , Alison M. Elliott , Samuel O. Danso
Published: Nov 5, 2025
Poster image

Introduction:

Understanding Periportal Fibrosis

  • Schistosoma mansoni infection can lead to periportal fibrosis (PPF), a form of liver scarring around the portal tracts that significantly impacts morbidity and mortality.
  • Early detection is crucial for timely intervention and potential reversibility.
  • In Uganda, nearly 70% of the population residing near water bodies are affected.

Diagnostic Challenge

  • Traditional ultrasound imaging, while widely used, is highly operator-dependent and requires considerable expertise for accurate diagnosis.

Objective

  • This study aims to apply AI-base deep learning methods to improve liver disease diagnosis from ultrasound images.

Keywords: Localization and Contextualization of AI in Healthcare