1. Tuberculosis: can AI become a reliable method for diagnosis and screening?
- Author
-
Moldovan, Antonia-Evelina
- Subjects
Computer Applications-General ,Cavitation ,Teleradiology ,Computer Applications-Detection, diagnosis ,Retrospective ,Outcomes ,Thorax ,Computer Applications-Teleradiology ,Image verification ,Artificial Intelligence ,Artificial Intelligence and Machine Learning ,Performed at one institution ,Diagnostic or prognostic study ,Computer applications ,Conventional radiography - Abstract
Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: The purpose of this work is to: emphasize the importance of chest X-ray imaging in establishing the diagnosis of tuberculosis (TB) develop and prove the reliability of an artificial intelligence (AI) software used for disease...
- Published
- 2020
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