Artificial intelligence in dentistry: Exploring emerging applications and future prospects

牙科 数据科学 计算机科学 医学
作者
Sang J. Lee,J. K. L. Poon,Apissada Jindarojanakul,Chu‐Chi Huang,Oliver Viera,Chan Cheong,Jason D. Lee
出处
期刊:Journal of Dentistry [Elsevier BV]
卷期号:155: 105648-105648 被引量:32
标识
DOI:10.1016/j.jdent.2025.105648
摘要

OBJECTIVES: This narrative review aimed to explore the evolution and advancements of artificial intelligence technologies, highlighting their transformative impact on healthcare, education, and specific aspects within dentistry as a field. DATA AND SOURCES: Subtopics within artificial intelligence technologies in dentistry were identified and divided among four reviewers. Electronic searches were performed with search terms that included: artificial intelligence, technologies, healthcare, education, dentistry, restorative, prosthodontics, periodontics, endodontics, oral surgery, oral pathology, oral medicine, implant dentistry, dental education, dental patient care, dental practice management, and combinations of the keywords. STUDY: selection: A total of 120 articles were included for review that evaluated the use of artificial intelligence technologies within the healthcare and dental field. No formal evidence-based quality assessment was performed due to the narrative nature of this review. The conducted search was limited to the English language with no other further restrictions. RESULTS: The significance and applications of artificial intelligence technologies on the areas of dental education, dental patient care, and dental practice management were reviewed, along with the existing limitations and future directions of artificial intelligence in dentistry as whole. Current artificial intelligence technologies have shown promising efforts to bridge the gap between theoretical knowledge and clinical practice in dental education, as well as improved diagnostic information gathering and clinical decision-making abilities in patient care throughout various dental specialties. The integration of artificial intelligence into patient administration aspects have enabled practices to develop more efficient management workflows. CONCLUSIONS: Despite the limitations that exist, the integration of artificial intelligence into the dental profession comes with numerous benefits that will continue to evolve each day. While the challenges and ethical considerations, mainly concerns about data privacy, are areas that need to be further addressed, the future of artificial intelligence in dentistry looks promising, with ongoing research aimed at overcoming current limitations and expanding artificial intelligence technologies.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
感谢大家完成签到,获得积分10
刚刚
1秒前
2秒前
荔枝发布了新的文献求助30
4秒前
石飞飞发布了新的文献求助10
4秒前
Jasper应助LiuZhe采纳,获得50
4秒前
6秒前
余小鱼完成签到,获得积分20
7秒前
7秒前
8秒前
9秒前
9秒前
9秒前
Tian完成签到,获得积分10
9秒前
我是老大应助他叫塞拉囧采纳,获得20
10秒前
李健的小迷弟应助108采纳,获得10
11秒前
12秒前
荔枝完成签到,获得积分10
12秒前
星辰大海应助AHA采纳,获得10
13秒前
13秒前
11关注了科研通微信公众号
14秒前
在水一方应助Researcheranu采纳,获得10
14秒前
三次方发布了新的文献求助10
15秒前
LiuZhe发布了新的文献求助50
15秒前
KZxxx发布了新的文献求助10
16秒前
16秒前
iiq发布了新的文献求助10
17秒前
18秒前
18秒前
19秒前
iiq发布了新的文献求助10
19秒前
iiq发布了新的文献求助10
19秒前
19秒前
19秒前
iiq发布了新的文献求助10
20秒前
辛勤寻云完成签到,获得积分10
20秒前
20秒前
20秒前
CodeCraft应助ttgx采纳,获得10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7345461
求助须知:如何正确求助?哪些是违规求助? 8957634
关于积分的说明 19021482
捐赠科研通 6996772
什么是DOI,文献DOI怎么找? 3219941
关于科研通互助平台的介绍 2384890
邀请新用户注册赠送积分活动 2200245