Advances in the application of machine learning in maxillofacial cysts and tumors.

Author: Hong-Xiang MEI ¹ ; Jun-Hao CHENG ² ; Yi-Zhou LI ¹ ; Huang-Shui MA ¹ ; Kai-Wen ZHANG ¹ ; Yu-Ke SHOU ¹ ; Yang LI ¹
Author Information

1. State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
2. College of Computer Science, Sichuan University, Chengdu 610041, China.
Publication Type:Review
Keywords: digital medicine; expert system; image recognition; machine learning; maxillofacial cyst; tumor
MeSH: Artificial Intelligence; Cysts/diagnosis*; Humans; Machine Learning; Oral Medicine
From: West China Journal of Stomatology 2020;38(6):687-691
CountryChina
Language:Chinese
Abstract: The application of artificial intelligence in medicine has gradually received attention along with its development. Many studies have shown that machine learning has a wide range of applications in stomatology, especially in the clinical diagnosis and treatment of maxillofacial cysts and tumors. This article reviews the application of machine learning in maxillofacial cyst and tumor to provide a new method for the diagnosis of oral and maxillofacial diseases.