Application of artificial intelligence in early cancer detection from medical images

Cancer is one of the leading causes of death in the world, and the success of its treatment largely depends on early detection. In recent years, the remarkable progress of artificial intelligence technologies, especially machine learning and deep learning, has brought about a major transformation in the field of medicine. By analyzing a huge volume of medical images, these technologies have been able to identify patterns that in many cases are not easily recognizable even by experienced specialists. For this reason, artificial intelligence has become one of the most important diagnostic tools in the early detection of various types of cancer. Medical images such as mammography, CT scan, magnetic resonance imaging (MRI), positron emission tomography (PET), ultrasound and digital pathology images provide invaluable information about the structure and function of body tissues. However, the large volume of these images, the complexity of disease patterns and the possibility of human error have made the use of intelligent systems for their analysis very important. Artificial intelligence algorithms, using deep neural networks and advanced image processing models, are able to identify suspicious areas with high accuracy, classify them, and even predict their probability of malignancy. The purpose of this article is to comprehensively examine the application of artificial intelligence in early cancer detection from medical images, introduce the technologies used, and state the benefits, limitations, ethical challenges, and future of this technology in the health system.

کلیدواژه ها:

Artificial Intelligence ، Deep Learning ، Machine Learning ، Cancer ، Early Diagnosis ، Medical Imaging ، Mammography ، CT Scan ، MRI ، Digital Pathology ، Convolutional Neural Network