Work

Machine learning in dental, oral and craniofacial imaging: a review of recent progress

Year: 2021

Type: article

Abstract: 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.

Source: PeerJ

DOI: 10.7717/peerj.11451

Authors: Ruiyang Ren, Haozhe Luo, Chongying Su, Yang Yao, Wen Liao

Institutions: Sichuan University, State Key Laboratory of Oral Diseases, Osaka Dental University

Language: English

Topic: Dental Radiography and Imaging

Subfield: Oral Surgery

Field: Dentistry

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,395