Research on Early Screening of Lung Cancer Based on Artificial Intelligence

Abstract

With the development of computer technology, electronic engineering, statistics and other disciplines, artificial intelligence (AI) has made breakthroughs in the medical field, and intelligent diagnosis and treatment has become an important development trend. The core methodological research of AI focuses on machine learning, and machine learning on clinical medicine is the key technology for using medical big data. Lung cancer is the malignant tumor with the highest morbidity and mortality in the world. Early CT screening can reduce the mortality of lung cancer patients. However, there are currently a large number of screenings, a large workload of physicians, and a high rate of missed diagnosis. This article explores the use of artificial intelligence (AI) screening for early lung cancer, and discusses the clinical significance of this method in the diagnosis of lung nodules. In lung cancer diagnosis, a lot of work has been done in computer-aided diagnosis, including traditional image processing methods, traditional machine learning methods, deep learning methods, and convolutional neural networks. This article compares and analyzes the output results of the Tumar Deep-Dimensional Lung Nodule Intelligent Diagnosis System and the diagnosis results of the chest C-images of the two-person reading patient, and studies the important value of artificial intelligence in the early screening of lung cancer.