Ren Ruiyang, Luo Haozhe, Su Chongying, Yao Yang, Liao Wen
State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China School of Stomatology, Sichuan University, Chengdu, Sichuan, China.
School of Computer Science, Sichuan University, Chengdu, Sichuan, China.
PeerJ. 2021 May 17;9:e11451. doi: 10.7717/peerj.11451. eCollection 2021.
Artificial intelligence has been emerging as an increasingly important aspect of our daily lives and is widely applied in medical science. One major application of artificial intelligence in medical science is medical imaging. As a major component of artificial intelligence, many machine learning models are applied in medical diagnosis and treatment with the advancement of technology and medical imaging facilities. The popularity of convolutional neural network in dental, oral and craniofacial imaging is heightening, as it has been continually applied to a broader spectrum of scientific studies. Our manuscript reviews the fundamental principles and rationales behind machine learning, and summarizes its research progress and its recent applications specifically in dental, oral and craniofacial imaging. It also reviews the problems that remain to be resolved and evaluates the prospect of the future development of this field of scientific study.
人工智能已成为我们日常生活中日益重要的一个方面,并广泛应用于医学领域。人工智能在医学领域的一个主要应用是医学成像。作为人工智能的一个主要组成部分,随着技术和医学成像设备的进步,许多机器学习模型被应用于医学诊断和治疗。卷积神经网络在牙科、口腔和颅面成像中的应用日益广泛,因为它已不断应用于更广泛的科学研究领域。我们的手稿回顾了机器学习背后的基本原理和理论依据,总结了其研究进展以及它在牙科、口腔和颅面成像中的最新应用。它还回顾了有待解决的问题,并评估了这一科学研究领域未来发展的前景。