Artificial intelligence in dentistry: current applications and future perspectives
Artificial intelligence in dentistry: current applications and future perspectives
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DOI：
10.3290/j.qi.a43952
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发表时间：
2020-03-01
影响因子：
1.9
通讯作者：
Att, Wael
中科院分区：
文献类型：
--
作者：
Chen, Yo-Wei;Stanley, Kyle;Att, Wael
人工智能（AI）涵盖了广泛的新兴技术，这些技术将继续影响日常生活。人工智能的发展使大数据分析成为可能，这提供了可靠的信息并改善了决策过程。本文介绍了人工智能的原理，回顾了人工智能的发展及其目前的使用情况。由于需要准确的诊断和上级患者护理，AI技术已经影响了医疗保健领域。为了了解牙科AI的趋势，进行了电子搜索，并与个别公司联系，以获得基于AI的服务的详细信息。对人工智能在口腔临床中的应用现状进行了介绍和总结。未来，基于人工智能的综合护理系统有望建立高质量的患者护理和创新研发，促进先进的决策支持工具。作者认为，临床医生、研究人员和工程师之间创新的跨专业协调将是牙科领域人工智能发展的关键。尽管存在潜在的误解和对患者隐私的担忧，但由于需要精确的治疗程序和即时的信息交换，人工智能将继续从全面的角度与牙科联系起来。此外，这些发展将使专业人士能够共享与健康相关的大数据，并通过医院、供应商、研究人员和患者提供改善患者护理的见解。
Artificial intelligence (AI) encompasses a broad spectrum of emerging technologies that continue to influence daily life. The evolution of AI makes the analysis of big data possible, which provides reliable information and improves the decision-making process. This article introduces the principles of AI and reviews the development of AI and how it is currently being used. AI technology has influenced the health care field because of the need for accurate diagnosis and superior patient care. In order to understand the trend of AI in dentistry, electronic searching was carried out, combined with approaching individual companies to obtain the details of AI-based services. The current applications of AI in clinical dentistry were introduced and summarized. In the future, the AI-based comprehensive care system is expected to establish high-quality patient care and innovative research and development, facilitating advanced decision support tools. The authors believe that an innovative inter-professional coordination among clinicians, researchers, and engineers will be the key to AI development in the field of dentistry. Despite the potential misinterpretations and the concern of patient privacy, AI will continue to connect with dentistry from a comprehensive perspective due to the need for precise treatment procedures and instant information exchange. Moreover, such developments will enable professionals to share health-related big data and deliver insights that improve patient care through hospitals, providers, researchers, and patients.