The utility of artificial intelligence in identifying radiological evidence of lung cancer and pulmonary tuberculosis in a high-burden tuberculosis setting
Background. Artificial intelligence (AI), using deep learning (DL) systems, can be utilised to detect radiological changes of various pulmonary diseases. Settings with a high burden of tuberculosis (TB) and people living with HIV can potentially benefit from the use of AI to augment resource-co...
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Main Authors: | Z Z Nxumalo, E M Irusen, B W Allwood, M Tadepalli, J Bassi, C F N Koegelenberg |
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Format: | Article |
Language: | English |
Published: |
South African Medical Association
2024-05-01
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Series: | South African Medical Journal |
Subjects: | |
Online Access: | https://samajournals.co.za/index.php/samj/article/view/1846 |
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