Role of Artificial Intelligence in Diagnosis of Tuberculosis: An Investigation
Avree Ito-Fujita, Shayna Katz
International Journal of Advanced Nursing Education and Research · 2023-12
Abstract
Artificial Intelligence-based classification techniques, an accurate and unique system for detecting tuberculosis has been developed in this work. There are two stages to the intended system. Three different Artificial Intelligence-based classification algorithms are applied once the X-ray image is initially processed utilizing pretreatment, classification, and feature extraction.
MeSH terms
- Tuberculosis
- Mycobacterium tuberculosis
- Medicine
- Medical diagnosis
- Disease
- Tuberculosis diagnosis
- Pulmonary tuberculosis
- Intensive care medicine
- Artificial intelligence
- Pathology