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
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