Design and Development of Deep Learning Approach for Dental Implant Planning

被引:3
|
作者
Bodhe, Rushikesh [1 ]
Sivakumar, Saaveethya [2 ]
Raghuwanshi, Ayush [1 ]
机构
[1] SB Jain Inst Technol Management & Res, Dept Informat Technol, Nagpur, Maharashtra, India
[2] Curtin Univ, Dept Elect & Comp Engn, Sarawak, Malaysia
来源
2022 INTERNATIONAL CONFERENCE ON GREEN ENERGY, COMPUTING AND SUSTAINABLE TECHNOLOGY (GECOST) | 2022年
关键词
Artificial Intelligence; Deep Learning; Dental Implants; Implant Planning; CONE-BEAM;
D O I
10.1109/GECOST55694.2022.10010527
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Over the past two decades, the area of artificial intelligence (AI) has developed and grown remarkably. Recent advancements in machine learning, digital data collecting, and computer infrastructure have allowed AI applications to spread into fields traditionally regarded as the domain of human expertise. AI has enormous potential to alter the healthcare industry and enhance patient care when used in medicine and dentistry. AI is being researched in dentistry for a number of objectives, including the precise identification of healthy and unhealthy structures, disease detection, and treatment result prediction. In this research, we develop an approach for emphasizing its assistive and supplementary role for medical professionals in implant planning and maxillofacial surgery. We plan a dental implant operation by developing an AI-based system for detecting implant type and position, the exact location of the mandibular canal, a canal located on both sides of the lower jaw that contains the alveolar nerve, and the total number of missing teeth precisely enough to implement the correct methodology for operating over missing teeth.
引用
收藏
页码:269 / 274
页数:6
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