Applying AI technology to predict the risk of Lung cancer in humans

Abstract

In recent years, Artificial Intelligence (AI) has emerged as a representative of the fourth industrial revolution. AI appears in many areas of human life such as economics, education, medicine, housework, and even military operations. This article presents an application of artificial intelligence in predicting the risk of Lung cancer in humans based on Lung CT scans. In this study, we propose a machine learning model using the Convolutional Neural Network (CNN) algorithm to train the Lung cancer dataset of IQ-OTH/NCCD. The simulation results show that the prediction accuracy is improved to 97.815 % and an application is designed to predict the risk of Lung cancer in humans. This proves that the power of AI is not just a trend but also a powerful tool in improving disease diagnosis and prediction, thereby helping to improve the quality of human life and health. Applying AI in the field of medicine not only enhances the ability to detect diseases early but also helps optimize the treatment process and minimize the impact of diseases on the human body.