Pulmonary function test interpretation and Deep Learning
Dr. Chou will then explain pulmonary function test interpretation as an example of how AI can achieve differentiation and classification of pulmonary diseases.
A pulmonary function test is a crucial tool in the diagnosis of a variety of respiratory diseases with limited airflow limitation or lung volume. Most respiratory specialists can correctly recognize patterns of pulmonary physiology changes by the features of the flow volume loop. Doctors rely on changes in pulmonary physiology before they give a diagnosis. Thus, more comprehensive data for pulmonary function tests are needed, such as functional vital capacity, reserved lung volume, CO diffusion capacity, etc. An algorithm for differentiation and classification is needed to further identify what clinical diseases may have these changes in pulmonary physiology.
When data inputs increase, or we well trained the computer with clean training data, the Computer may correctly identify the disease states for the changes in pulmonary physiology. AI achieved this goal by taking complete input data of a large number of known disease cases. Hence, AI-based software provided interpretations that were more accurate and consistent and could serve as a powerful decision support tool to improve clinical practice. Dr. Chou will briefly introduce his design of an AI interpretation system using python.
Finally, we will look at Deep learning. Deep learning is useful because it allows the important relationship between disparate pieces of data, rather than requiring explicit human definition. Deep learning, the best approach, may lead to a more accurate diagnosis by being able to consider a wider range of information and making the patents with data more apparent. It allows improved understanding of the disease. Playing a role in aiding clinicians to deliver care to patients. Please check this website to learn more on DNN.
Share and Learn
As you could see in Dr. Chou’s python program, have you ever seen other similar works in diagnosis in pulmonary physiology?
Introduction to AI Applications in Pulmonary Medicine
Introduction to AI Applications in Pulmonary Medicine
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