Ebook Info
- Published: 2024
- Number of pages: 590 pages
- Format: PDF
- File Size: 712.08 MB
- Authors: Maher Ali Rusho
Description
Dentistry is the practice of evaluating, diagnosing, preventing, and treating diseases, disorders, and conditions of the oral cavity, maxillofacial area, and related structures. This includes both nonsurgical and surgical procedures. Dentistry is provided by dentists who have received education, training, and experience in professional ethics and applicable laws. AI has proven its ability to surpass human expertise through its remarkable achievements. The development of AI requires the simultaneous progress of computer software, hardware computing power, and large input data databases. Training the algorithm for machine learning tasks using 3D models requires a significant amount of computational power. When comparing video-based and 2D image tasks to working directly with 3D data for regression and classification tasks, it becomes apparent that the current computational capacity is still insufficient. It is not possible to load millions of point clouds or meshes onto the GPU simultaneously in a 3D model. To reduce the amount of computational work required, 3D model representations and sampling techniques (such as voxels, mesh, point cloud, and depth map) are commonly used, even though this may result in a loss of certain details. In addition to the significant amount of digitized medical data that was previously inaccessible and used to train machine-learning models, the progress of wearable technology also contributes to the gathering of large-scale medical data. Hence, the advancement of AI applications heavily relies on the interplay between the digitalized training data, processing power, and AI algorithms. Health professionals regard both Evidence-Based Medicine (EBM) and Evidence-Based Dentistry (EBD) as the highest benchmarks for decision-making. Health professionals may consider this as a valuable supplementary tool in different phases of clinical cases, as trained using human expertise and machine learning models. Machine learning has the potential to assist medical professionals in efficiently storing and analyzing patient-related data, as well as keeping up with the latest medical knowledge. Machine learning algorithms excel at detecting patterns in patient diagnostic data, improving current medical treatments, discovering new medications, enabling precision medicine, and minimizing human mistakes. Although both EBD and ML have similar objectives, ML can achieve them more efficiently by utilizing existing data, whereas EBD usually relies on randomized controlled trials.
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Dentistry
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