Shunv Ying MDS, Feng Huang PHD, Wei Liu MDS, Fuming He MD
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引用次数: 0
Abstract
Artificial intelligence represented by deep learning has attracted attention in the field of dental implant restoration. It is widely used in surgical image analysis, implant plan design, prosthesis shape design, and prognosis judgment. This article mainly describes the research progress of deep learning in the whole process of dental implant prosthodontics. It analyzes the limitations of current research, and looks forward to the future development direction.
期刊介绍：
The goal of Clinical Implant Dentistry and Related Research is to advance the scientific and technical aspects relating to dental implants and related scientific subjects. Dissemination of new and evolving information related to dental implants and the related science is the primary goal of our journal.
The range of topics covered by the journals will include but be not limited to:
New scientific developments relating to bone
Implant surfaces and their relationship to the surrounding tissues
Computer aided implant designs
Computer aided prosthetic designs
Immediate implant loading
Immediate implant placement
Materials relating to bone induction and conduction
New surgical methods relating to implant placement
New materials and methods relating to implant restorations
Methods for determining implant stability
A primary focus of the journal is publication of evidenced based articles evaluating to new dental implants, techniques and multicenter studies evaluating these treatments. In addition basic science research relating to wound healing and osseointegration will be an important focus for the journal.
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