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Title: | How far have we come? Artificial intelligence for chest radiograph interpretation |
Authors: | Kallianos, K, Abuya, J |
Keywords: | Artificial intelligence chest radiograph interpretation |
Issue Date: | Jan-2019 |
Publisher: | EPub |
Abstract: | Due to recent advances in artificial intelligence, there is renewed interest in automating interpretation of imaging tests. Chest radiographs are particularly interesting due to many factors: relatively inexpensive equipment, importance to public health, commonly performed throughout the world, and deceptively complex taking years to master. This article presents a brief introduction to artificial intelligence, reviews the progress to date in chest radiograph interpretation, and provides a snapshot of the available datasets and algorithms available to chest radiograph researchers. Finally, the limitations of artificial intelligence with respect to interpretation of imaging studies are discussed |
URI: | https://www.researchgate.net/publication/330690552_ http://ir.mu.ac.ke:8080/jspui/handle/123456789/4351 |
Appears in Collections: | School of Medicine |
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