| Abstrakt: |
This scientific article proposal explores the potential benefits of using artificial intelligence (AI) in prosthodontic restoration to achieve predictable and safer dental outcomes. Prosthodontic restoration involves designing, fabricating, and placing dental prostheses to restore oral function and aesthetics. Although traditional prosthodontic techniques have evolved significantly, incorporating AI into the workflow can revolutionize the field by enhancing accuracy, efficiency, and patient satisfaction. The proposed study aims to investigate the integration of AI algorithms and techniques into various stages of prosthodontic restoration, including treatment planning, digital impression acquisition, prosthesis design, and fabrication. By leveraging machine learning algorithms and image processing, AI can assist in diagnosing dental conditions, predicting treatment outcomes, and optimizing prosthesis design to ensure optimal fit and function. This technology can also aid in identifying potential challenges and risks before proceeding with the restorative procedures, minimizing errors, and improving patient safety. Furthermore, AI-powered systems can facilitate real-time assessment and feedback during fabrication, ensuring precise milling or 3D printing of prosthetic materials. These advancements have the potential to streamline workflows, reduce human error, and shorten treatment times, ultimately leading to enhanced treatment outcomes and increased patient satisfaction. The proposed research methodology includes a comprehensive literature review, an analysis of existing AI applications in prosthodontic restoration, and the development of a prototype AI-assisted system for prosthesis design and fabrication. The evaluation of this prototype will involve quantitative and qualitative assessments, comparing its performance with traditional methods. Overall, this article proposal seeks to highlight the transformative role of AI in prosthodontic restoration, emphasizing its potential to revolutionize traditional approaches and deliver predictable and safer dentistry. The findings from this research can contribute to advancing dental technology, fostering innovation, and improving patient care in prosthodontics. [ABSTRACT FROM AUTHOR] |
