This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to “learn”, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for all dental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.
Cover Front Matter Part I. Machine Learning for Dental Imaging 1. Machine Learning for CBCT Segmentation of Craniomaxillofacial Bony Structures 2. Machine Learning for Craniomaxillofacial Landmark Digitization of 3D Imaging 3. Segmenting Bones from Brain MRI via Generative Adversarial Learning 4. Sparse Dictionary Learning for 3D Craniomaxillofacial Skeleton Estimation Based on 2D Face Photographs 5. Machine Learning for Facial Recognition in Orthodontics Part II. Machine Learning for Oral Diagnosis and Treatment 6. Machine/Deep Learning for Performing Orthodontic Diagnoses and Treatment Planning 7. Machine Learning in Orthodontics: A New Approach to the Extraction Decision 8. Machine (Deep) Learning for Characterization of Craniofacial Variations 9. Patient-Specific Reference Model for Planning Orthognathic Surgery Part III. Machine Learning and Dental Designs 10. Machine (Deep) Learning for Orthodontic CAD/CAM Technologies 11. Assessment of Outcomes by Using Machine Learning Part IV. Machine Learning Supporting Dental Research 12. Machine Learning in Evidence Synthesis Research 13. Machine Learning and Deep Learning in Genetics and Genomics 14. Machine (Deep) Learning and Finite Element Modeling
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