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人工智能在牙科中的应用——叙述性综述。

Artificial Intelligence in Dentistry-Narrative Review.

机构信息

Department of Periodontology and Oral Mucosa Diseases, Medical University of Gdańsk, 80-204 Gdańsk, Poland.

Department of Biostatistics and Neural Networks, Medical University of Gdańsk, 80-211 Gdańsk, Poland.

出版信息

Int J Environ Res Public Health. 2022 Mar 15;19(6):3449. doi: 10.3390/ijerph19063449.

DOI:10.3390/ijerph19063449
PMID:35329136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8950565/
Abstract

Nowadays, artificial intelligence (AI) is becoming more important in medicine and in dentistry. It can be helpful in many fields where the human may be assisted and helped by new technologies. Neural networks are a part of artificial intelligence, and are similar to the human brain in their work and can solve given problems and make fast decisions. This review shows that artificial intelligence and the use of neural networks has developed very rapidly in recent years, and it may be an ordinary tool in modern dentistry in the near future. The advantages of this process are better efficiency, accuracy, and time saving during the diagnosis and treatment planning. More research and improvements are needed in the use of neural networks in dentistry to put them into daily practice and to facilitate the work of the dentist.

摘要

如今，人工智能（AI）在医学和牙科领域变得越来越重要。它可以在许多领域为人类提供帮助，新技术可以辅助和帮助人类。神经网络是人工智能的一部分，其工作方式类似于人类大脑，可以解决给定的问题并做出快速决策。这篇综述表明，近年来人工智能和神经网络的使用发展非常迅速，在不久的将来，它可能成为现代牙科的常用工具。这个过程的优点是在诊断和治疗计划中提高效率、准确性和节省时间。在牙科中使用神经网络需要更多的研究和改进，以便将其投入日常实践并为牙医的工作提供便利。

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本文引用的文献

[1]
Use of the deep learning approach to measure alveolar bone level.

J Clin Periodontol. 2022-3

[2]
Deep Learning-Based Prediction of Paresthesia after Third Molar Extraction: A Preliminary Study.

Diagnostics (Basel). 2021-8-30

[3]
Ultrasonic assessment of osseointegration phenomena at the bone-implant interface using convolutional neural network.

J Acoust Soc Am. 2021-6

[4]
Applications of artificial intelligence and machine learning in orthodontics: a scoping review.

Prog Orthod. 2021-7-5

[5]
Artificial Intelligence in Endodontics: Current Applications and Future Directions.

J Endod. 2021-9

[6]
Multi-Task Deep Learning Model for Classification of Dental Implant Brand and Treatment Stage Using Dental Panoramic Radiograph Images.

Biomolecules. 2021-5-30

[7]
A deep learning approach for dental implant planning in cone-beam computed tomography images.

BMC Med Imaging. 2021-5-19

[8]
Do Radiographic Assessments of Periodontal Bone Loss Improve with Deep Learning Methods for Enhanced Image Resolution?

Sensors (Basel). 2021-3-12

[9]
Peri-Implant Bone Loss Measurement Using a Region-Based Convolutional Neural Network on Dental Periapical Radiographs.

J Clin Med. 2021-3-2

[10]
Artificial intelligence for detection of periapical lesions on intraoral radiographs: Comparison between convolutional neural networks and human observers.

Oral Surg Oral Med Oral Pathol Oral Radiol. 2021-5

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