Journal of Bioengineering & Biomedical Science

Abstract

Edward Lambert, Hooman Majd Rahbar*, Sofia Angarski , Elaheh Moradi, and Mehdi Vahidi

Nowadays, the importance of artificial intelligence design is in the priorities of research centers, companies and researchers in order to prevent human error, increase accuracy in diagnosis, rapidly action and also industrial automation. The role of artificial intelligence on the advancement of technology, industry, etc. Nobody is hidden from anyone. Satisfactory performance of all organs of the body depends on their capacity to consume oxygen and excrete carbon dioxide. Although there are different types of lung diseases, each of these diseases has its own characteristics and causes unpleasant changes in the branches of the lungs. The diagnosis of lung disease as the fourth leading cause of death before the advent of COVID 19 has long been important for humans. Accurate detection of abnormalities in medical images (such as X-rays and CT scans) is a challenge due to blurred images at the border, different sizes, variable shapes, and uneven density. In this study, by converting images obtained from medical imaging device, CT scan and converting it into cloud points, through three-dimensional modeling and analysis, by comparing the changes of physical factors between healthy people and lung patients, factors such as: Force, air flow, pressure, resistance, as well as the amount of changes in CO2 in the inhale and exhale, the type of disease, and the severity of lung disease are determined. Clinical studies have been performed on 480 CT scan files prepared from lung patients for simulation and analysis to achieve better results. Finally, it provides physicians with information about the type and severity of the disease, the latest treatments suggested by other physicians, available medications, and approved protocols online in order to expedite the better treatment process.