Expanding molecular diagnostic coverage for tuberculosis by combining computer-aided chest radiography and sputum specimen pooling: a modeling study from four high-burden countries

Abstract Background In 2022, fewer than half of persons with tuberculosis (TB) had access to molecular diagnostic tests for TB due to their high costs. Studies have found that the use of artificial intelligence (AI) software for chest X-ray (CXR) interpretation and sputum specimen pooling can each r...

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Principais autores:	Andrew James Codlin, Luan Nguyen Quang Vo, Tushar Garg, Sayera Banu, Shahriar Ahmed, Stephen John, Suraj Abdulkarim, Monde Muyoyeta, Nsala Sanjase, Tom Wingfield, Vibol Iem, Bertie Squire, Jacob Creswell
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	BMC 2024-08-01
סדרה:	BMC Global and Public Health
נושאים:	GeneXpert Pooling AI CAD X-ray CXR
גישה מקוונת:	https://doi.org/10.1186/s44263-024-00081-2
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!