Titlebook: Machine Learning in Dentistry; Ching-Chang Ko,Dinggang Shen,Li Wang Book 2021 Springer Nature Switzerland AG 2021 Dental big data.Digital

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Patient-Specific Reference Model for Planning Orthognathic Surgeryuccess of craniomaxillofacial (CMF) surgery. An accurate surgical plan greatly relies on a patient-specific reference model. The current challenge is a lack of this reference model. As a result, the outcome of surgery is currently dependent on the surgeon’s diagnoses and experience. This chapter int

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nepotism

Machine Learning and Deep Learning in Genetics and Genomicsbegin with a general introduction of genomics data and present a multi-omics study investigating early childhood oral health. We then review statistical methods and ML/DL methods and their application in genomics data analysis that include the following aspects: (1) association between genetic marke

FLORA

Machine (Deep) Learning and Finite Element Modelingovement, implant components, and peri-implant bone. We begin with a brief introduction of the traditional FEA process and disadvantages of using FEA in clinical applications. Then, we review existing studies in which researchers use machine learning (ML) to address these disadvantages. Finally, we c

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978-3-030-71883-1Springer Nature Switzerland AG 2021

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Ching-Chang Ko,Dinggang Shen,Li WangReviews use of machine learning in contemporary dentistry.Covers applications in dental practice and research.Highlights benefits, opportunities, and challenges

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https://doi.org/10.1007/978-3-030-71881-7Dental big data; Digital oral imaging; Digital Dentistry; Oral diagnosis; Artificial intelligence in den