Examining the Science of Image Processing and its Application in Medicine (Dentistry)

Abstract

In recent years, we have witnessed the expansion of artificial intelligence research and its applications in various aspects of human life. One of the key subfields of this domain is image processing, which attracts numerous researchers worldwide annually. Image processing is widely utilized in medical research to enable precise and effective treatments for diseases, for instance, through algorithms powered by artificial intelligence. The integration of AI and deep learning has significantly advanced recent studies and their application in medical imaging, particularly in using radiology images to diagnose various diseases. Researchers have achieved remarkable progress in the early detection of certain illnesses using these methods. Numerous studies in the field of image processing have been conducted, finding applications in diverse areas such as medicine, robotics, military, and meteorology. Medical images, including X-rays, CT scans, MRIs, and other types, are among the most essential diagnostic tools for physicians and have consistently been the focus of extensive research.

One of the most significant applications of image processing is in dentistry, where substantial research has been conducted. Today, automated analysis of oral, jaw, and facial images is considered one of the most valuable methods for disease diagnosis, treatment planning, and monitoring the treatment process. This article provides a brief review of the role and importance of image processing techniques in dentistry. Some of the most impactful applications of dental image processing include the early detection of tooth decay, personal identification, and determining the degree of tooth whitening. This article introduces, analyzes, and evaluates these applications.