Artificial intelligence in dentistry: It’s applications, impact and challenges

医学诊断 口腔医学 牙科 牙科放射照相术 放射治疗计划 医学 牙科护理 口腔健康 口腔保健 医疗保健 牙髓病学家 计算机科学 牙体牙髓科 射线照相术 病理 内科学 经济 放射科 经济增长 放射治疗
作者
Bhavya Srivastava,Sunira Chandra,Siddharth Singh,Tanmay Srivastava
出处
期刊:Asian journal of oral health and allied sciences [Scientific Scholar]
卷期号:13: 7-7 被引量:3
标识
DOI:10.25259/ajohas_10_2023
摘要

In dentistry, artificial intelligence (AI) has shown great potential in improving diagnosis, treatment planning, and patient care. AI algorithms have been developed to analyze dental images, such as radiographs and intraoral scans, aiding in the detection of dental caries, periodontal diseases, and oral lesions. These algorithms can provide more accurate and efficient diagnoses, reducing the reliance on human interpretation. AI has also been utilized in treatment planning and helping dentists to determine the optimal approach for procedures such as dental implant placement and orthodontic treatment, and recently, AI has also been playing a significant role in forensic medicine as well as in forensic odontology. In addition, AI-based chatbots and virtual assistants have been developed to provide patients with personalized oral health information and guidance. Despite the numerous advantages, challenges remain in implementing AI in dentistry, such as ensuring data privacy and addressing ethical concerns. Nevertheless, AI has the potential to revolutionize dentistry by improving diagnosis, treatment planning, and patient care, ultimately leading to better oral health outcomes. This review provides an overview of the current applications of AI and its influence on dental practice, along with future prospects.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
科研通AI5应助lxy采纳,获得10
刚刚
ziwei完成签到,获得积分10
1秒前
美好如霜完成签到,获得积分10
1秒前
玺白白完成签到,获得积分20
1秒前
1秒前
耍酷念柏完成签到,获得积分10
1秒前
爱笑绿柳发布了新的文献求助10
1秒前
2秒前
风凌发布了新的文献求助10
3秒前
3秒前
英俊的铭应助ChenYX采纳,获得10
3秒前
英姑应助daqing1725采纳,获得10
4秒前
David发布了新的文献求助30
4秒前
Alex完成签到,获得积分10
4秒前
玺白白发布了新的文献求助10
4秒前
即将拥有CNS完成签到,获得积分10
5秒前
5秒前
5秒前
善良诗珊完成签到,获得积分10
5秒前
小白杨发布了新的文献求助10
6秒前
Lucas应助姚叶清采纳,获得10
6秒前
完美世界应助lean采纳,获得10
6秒前
傅ting发布了新的文献求助10
6秒前
wonderingria发布了新的文献求助10
6秒前
酷波er应助牛姐采纳,获得20
6秒前
7秒前
笑点低中心完成签到,获得积分10
7秒前
7秒前
7秒前
7秒前
泡面加蛋完成签到,获得积分10
8秒前
床头经济学完成签到,获得积分10
8秒前
9秒前
树袋发布了新的文献求助30
9秒前
9秒前
每念至此完成签到,获得积分10
10秒前
lll发布了新的文献求助10
10秒前
10秒前
Kyr完成签到,获得积分20
10秒前
11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
Acute Mountain Sickness 2000
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5070701
求助须知:如何正确求助?哪些是违规求助? 4291806
关于积分的说明 13371837
捐赠科研通 4112158
什么是DOI,文献DOI怎么找? 2251879
邀请新用户注册赠送积分活动 1256949
关于科研通互助平台的介绍 1189638