Using Artificial Intelligence to Improve the Resolution Quality of Medical Images

In recent years, the use of artificial intelligence (AI) in the field of medical imaging has been rapidly increasing. One of the key applications of AI is to improve the resolution quality of medical images, which can help in more accurate and effective diagnosis of diseases. This review article examines various AI techniques, including deep learning and convolutional neural networks (CNN), and analyzes their impact on the quality of medical images. Using advanced algorithms, low-resolution images can be converted into higher-quality images, which leads to improved disease diagnosis and reduced human error in image interpretation. This article also discusses the challenges and limitations in this field and provides suggestions for future research. In addition, recent research results on improving the quality of medical images using AI are reviewed, which indicate the high potential of this technology in optimizing diagnostic and therapeutic processes.

کلیدواژه ها:

artificial intelligence ، medical images ، quality improvement ، resolution ، deep learning ، neural networks