MinoHealth.AI: A Clinical Evaluation of Deep Learning Systems for the Diagnosis of Pleural Effusion and Cardiomegaly in Ghana, Vietnam and the United States of America

Abstract

A rapid and accurate diagnosis of medical conditions like cardiomegaly and pleural effusion is of the utmost importance to reduce mortality and medical costs, and artificial intelligence has shown promise in diagnosing medical conditions. We evaluated how well Artificial Intelligence (AI) systems, developed by minoHealth AI Labs, perform at diagnosing cardiomegaly and pleural effusion, using chest x-rays from Ghana, Vietnam and the USA, and how well AI systems perform when compared with radiologists working in Ghana. The evaluation dataset used in this study contained 100 images randomly selected from three datasets. The deep learning models were further tested on a larger Ghanaian dataset containing 561 samples. Two AI systems were then evaluated on the evaluation dataset, whilst we also gave the same chest x-ray images within the evaluation dataset to four radiologists, with 5 - 20 years’ experience, to give their independent diagnoses.

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