深度学习在整个种植修复过程中的应用：最新进展综述。

IF 3.7 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Clinical Implant Dentistry and Related Research Pub Date : 2024-01-29 DOI:10.1111/cid.13307

Shunv Ying MDS, Feng Huang PHD, Wei Liu MDS, Fuming He MD

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引用次数: 0

摘要

以深度学习为代表的人工智能在牙科种植修复领域备受关注。它被广泛应用于手术图像分析、种植方案设计、修复体外形设计和预后判断等方面。本文主要介绍了深度学习在口腔种植修复全过程中的研究进展。分析了当前研究的局限性，并展望了未来的发展方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Deep learning in the overall process of implant prosthodontics: A state-of-the-art review

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.

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来源期刊

Clinical Implant Dentistry and Related Research 医学-牙科与口腔外科

CiteScore

6.00

自引率

13.90%

发文量

103

审稿时长

4-8 weeks

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.