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An Approach to Intelligent Pneumonia Detection and Integration

7 December 2020
Bonaventure F. P. Dossou
A. Iureva
Sayali R. Rajhans
Vamsi Sai Pidikiti
ArXiv (abs)PDFHTML
Abstract

Each year, over 2.5 million people, most of them in developed countries, die from pneumonia [1]. Since many studies have proved pneumonia is successfully treatable when timely and correctly diagnosed, many of diagnosis aids have been developed, with AI-based methods achieving high accuracies [2]. However, currently, the usage of AI in pneumonia detection is limited, in particular, due to challenges in generalizing a locally achieved result. In this report, we propose a roadmap for creating and integrating a system that attempts to solve this challenge. We also address various technical, legal, ethical, and logistical issues, with a blueprint of possible solutions.

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