Artificial Intelligence or machine learning can be used to help improve the accuracy of the diagnosis in lung diseases. Machine learning utilises algorithms that can learn from and perform predictive data analysis. Team developed an algorithm process in addition to the routine lung function parameters and clinical variables of smoking history. Based on pattern of both the clinical and lung function data, the algorithm makes a suggestion for the most likely diagnosis. But with AI-based solutions, the machine can observe a combination of patterns at one time to help produce a more accurate diagnosis.