Diagnosis of Pulmonary Tuberculosis through Intelligent Techniques: A Review

Abstract

Artificial Intelligence is the field of Intelligent Agents. AI has been playing a vital role in healthcare in recent times. In the Medical & Health care field, it is commonly used in classification, to automate the initial result of a CT scan and X-Ray film. ML – especially Deep Learning algorithms – have recently made impressive advances in automatically diagnosing various pulmonary issues, making a clear understanding of treatment criteria and making cheaper costs for patients. The following review emphasizes recent advancements in intelligent techniques applied under pulmonary tuberculosis on different clinical inputs. The result with systematic analysis indicates that a multi agent system having pulmonary TB symptoms & signs of the patient and CXR imaging along with microbiological inputs can diagnose TB threat in a better way.