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牙科诊所实施人工智能云解决方案综合指南:综述

A Comprehensive Guide to Implement Artificial Intelligence Cloud Solutions in a Dental Clinic: A Review.

作者信息

Bedia Sumit V, Shapurwala Murtaza Akbarali, Kharge Bhushan Pramod, Bedia Aarti S, Patil Amit

机构信息

Prosthodontics, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Navi Mumbai, IND.

Dentistry, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Navi Mumbai, IND.

出版信息

Cureus. 2025 Feb 7;17(2):e78718. doi: 10.7759/cureus.78718. eCollection 2025 Feb.

DOI:10.7759/cureus.78718
PMID:40065898
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11891460/
Abstract

Integrating the artificial intelligence (AI) cloud into dental clinics can enhance diagnostics, streamline operations, and improve patient care. This article explores the adoption of AI-powered cloud solutions in dental clinics, focusing on infrastructure requirements, software licensing, staff training, system optimization, and the challenges faced during implementation. It provides a detailed guide for dental practices to transition to AI cloud systems. We reviewed existing literature, technological guidelines, and practical implementation strategies for integrating AI cloud in dental practices. The methodology includes a step-by-step approach to understanding clinic needs, selecting appropriate software, training staff, and ensuring system optimization and maintenance. Integrating AI cloud solutions can drastically improve clinical outcomes and operational efficiency. Despite the challenges, proper planning, infrastructure investment, and continuous training can ensure a smooth transition and maximize the benefits of AI technologies in dental care.

摘要

将人工智能(AI)云集成到牙科诊所可以增强诊断能力、简化操作流程并改善患者护理。本文探讨了牙科诊所采用人工智能驱动的云解决方案的情况,重点关注基础设施要求、软件许可、员工培训、系统优化以及实施过程中面临的挑战。它为牙科诊所向人工智能云系统过渡提供了详细指南。我们回顾了将人工智能云集成到牙科实践中的现有文献、技术指南和实际实施策略。该方法包括一个逐步了解诊所需求、选择合适软件、培训员工以及确保系统优化和维护的过程。集成人工智能云解决方案可以显著改善临床结果和运营效率。尽管存在挑战,但通过合理规划、基础设施投资和持续培训,可以确保顺利过渡,并最大限度地发挥人工智能技术在牙科护理中的益处。

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本文引用的文献

1
Artificial intelligence in dentistry-A review.牙科领域的人工智能——综述
Front Dent Med. 2023 Feb 20;4:1085251. doi: 10.3389/fdmed.2023.1085251. eCollection 2023.
2
Empowering Modern Dentistry: The Impact of Artificial Intelligence on Patient Care and Clinical Decision Making.赋能现代牙科:人工智能对患者护理和临床决策的影响。
Diagnostics (Basel). 2024 Jun 14;14(12):1260. doi: 10.3390/diagnostics14121260.
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Role of Artificial Intelligence (AI) in Patient Education and Communication in Dentistry.人工智能(AI)在牙科患者教育与沟通中的作用。
Cureus. 2024 May 7;16(5):e59799. doi: 10.7759/cureus.59799. eCollection 2024 May.
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Health Status Classification for Cows Using Machine Learning and Data Management on AWS Cloud.使用机器学习和AWS云数据管理对奶牛健康状况进行分类
Animals (Basel). 2023 Oct 18;13(20):3254. doi: 10.3390/ani13203254.
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Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis.把握当下:消除障碍并推动人工智能在医学诊断中的临床应用。
NAM Perspect. 2022 Sep 29;2022. doi: 10.31478/202209c. eCollection 2022.
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Artificial Intelligence in Teledentistry.远程牙科中的人工智能
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Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives.人工智能在牙科领域的进展:当前临床应用与未来展望
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J Esthet Restor Dent. 2022 Jan;34(1):259-280. doi: 10.1111/jerd.12844. Epub 2021 Nov 29.
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Barriers and Enablers for Artificial Intelligence in Dental Diagnostics: A Qualitative Study.牙科诊断中人工智能的障碍与促进因素:一项定性研究。
J Clin Med. 2021 Apr 10;10(8):1612. doi: 10.3390/jcm10081612.
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Implementation of teledentistry for orthodontic practices.远程牙科在正畸实践中的应用。
J World Fed Orthod. 2021 Mar;10(1):9-13. doi: 10.1016/j.ejwf.2021.01.002. Epub 2021 Feb 25.