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J Dent Sci. 2021 Jan;16(1):508-522. doi: 10.1016/j.jds.2020.06.019. Epub 2020 Jun 30.
4
Deep Learning for the Radiographic Detection of Periodontal Bone Loss.深度学习在牙周骨丧失放射学检测中的应用。
Sci Rep. 2019 Jun 11;9(1):8495. doi: 10.1038/s41598-019-44839-3.
5
Automatic detection of periodontitis using intra-oral images.使用口腔内图像自动检测牙周炎。
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:3906-3909. doi: 10.1109/EMBC.2017.8037710.
6
Impact of Electronic Health Records on Long-Term Care Facilities: Systematic Review.电子健康记录对长期护理机构的影响:系统评价
JMIR Med Inform. 2017 Sep 29;5(3):e35. doi: 10.2196/medinform.7958.

牙周病学中的人工智能:全面综述

Artificial Intelligence in Periodontics: A Comprehensive Review.

作者信息

Parihar Anuj Singh, Narang Sumit, Tyagi Sanjeev, Narang Anu, Dwivedi Shivani, Katoch Vartika, Laddha Rashmi

机构信息

Department of Periodontology, People's Dental Academy, Bhopal, Madhya Pradesh, India.

Department of Conservative Dentistry and Endodontics, People's Dental Academy, Bhopal, Madhya Pradesh, India.

出版信息

J Pharm Bioallied Sci. 2024 Jul;16(Suppl 3):S1956-S1958. doi: 10.4103/jpbs.jpbs_129_24. Epub 2024 May 13.

DOI:10.4103/jpbs.jpbs_129_24
PMID:39346158
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11426892/
Abstract

Periodontal diseases are prevalent worldwide and pose a significant public health burden. With the advent of artificial intelligence (AI), there has been growing interest in leveraging AI technologies to improve diagnosis, treatment planning, and management of periodontal conditions. This review aims to provide a comprehensive overview of the applications of AI in periodontics, including its potential benefits, challenges, and future directions. Fifteen relevant studies were analyzed to explore the role of AI in periodontal disease detection, risk assessment, treatment planning, and patient management. The findings highlight the promising role of AI in enhancing the accuracy, efficiency, and personalized care delivery in periodontics.

摘要

牙周疾病在全球范围内普遍存在,构成了重大的公共卫生负担。随着人工智能(AI)的出现,人们越来越有兴趣利用人工智能技术来改善牙周疾病的诊断、治疗计划制定和管理。本综述旨在全面概述人工智能在牙周病学中的应用,包括其潜在益处、挑战和未来方向。分析了15项相关研究,以探讨人工智能在牙周疾病检测、风险评估、治疗计划制定和患者管理中的作用。研究结果突出了人工智能在提高牙周病学诊断准确性、效率和个性化护理方面的重要作用。