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Emmanuel Adator
Dr.Emmanuel Adator
Automating Glaucoma Diagnosis using Artificial Intelligence
(Original Title: MLCs for Advanced Glaucoma Diagnosis: A Study within the Ghanaian Healthcare Context)
Author(s): Andrew Owusu-Ansah, Emmanuel Adator, Mercy Oforiwaa Berchie, Julius Markwei, Abraham Boakye Yiadom, Anang-Bey Kwame, Joseph Sa-Ambo Mannyeya
Published on: October 31, 2024
Research themes: #Innovation #Product Development #Artificial intelligence #Health
Keywords: #Glaucoma #Artificial Intelligence #Machine Learning #Deep Neural Networks
Abstract: This study focuses on automating the diagnosis of glaucoma, a leading cause of irreversible vision loss, through machine learning classifiers (MLCs). Using data from 605 patients in Ghana, the research integrated Optical Coherence Tomography (OCT) and Visual Field Test (VFT) parameters to predict glaucoma status. Ten machine learning algorithms were tested, with Naïve Bayes achieving the highest diagnostic accuracy (AUROC 0.92). The findings suggest that machine learning can significantly improve diagnostic efficiency and accuracy, particularly in resource-constrained settings.…View details