Tooth.AI: Intelligent Dental Disease Diagnosis and Treatment Support Using Semantic Network

被引：1

作者：

Gabbar, Hossam A. ^{[1
,2
]}

Chahid, Abderrazak ^{[1
]}

Khan, Md. Jamiul Alam ^{[2
]}

Grace-Adegboro, Oluwabukola ^{[2
]}

Samson, Matthew Immanuel ^{[3
]}

机构：

[1] Ontario Tech Univ, Fac Energy Syst & Nucl Sci, Oshawa, ON L16 0C5, Canada

[2] Ontario Tech Univ, Fac Engn & Appl Sci, Oshawa, ON L16 0C5, Canada

[3] New Vis Syst Canada Inc, Scarborough, ON M1S 3L1, Canada

来源：

IEEE SYSTEMS MAN AND CYBERNETICS MAGAZINE | 2023年 / 9卷 / 03期

关键词：

Schedules; Semantics; Teeth; Software; Dentistry; Fourth Industrial Revolution; Medical diagnosis; Diseases;

D O I：

10.1109/MSMC.2023.3245814

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The emerging fourth industrial revolution (industry 4.0) is leading the healthcare system toward more digitalization and smart management. For instance, recent digital healthcare solutions can help dentists/practitioners save time by managing their schedules and managing diagnosis and treatment. The proposed solution is a diagnostic module that can be integrated into existing dental software. This module is based on artificial intelligence (AI) that allows the diagnosis of X-ray images/volumes and helps in the early detection and diagnosis of oral health diseases. The solution presents a smart and automated assistive platform to aid dental practitioners in identifying underlying tooth diseases and accessing doctors in treatment suggestions.

引用

页码：19 / 27

页数：9

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