Artificial Intelligence in Dentistry: A Descriptive Review.

IF 3.8 3区 医学 Q2 ENGINEERING, BIOMEDICAL Bioengineering Pub Date : 2024-12-13 DOI:10.3390/bioengineering11121267
Sreekanth Kumar Mallineni, Mallika Sethi, Dedeepya Punugoti, Sunil Babu Kotha, Zikra Alkhayal, Sarah Mubaraki, Fatmah Nasser Almotawah, Sree Lalita Kotha, Rishitha Sajja, Venkatesh Nettam, Amar Ashok Thakare, Srinivasulu Sakhamuri
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Abstract

Artificial intelligence (AI) is an area of computer science that focuses on designing machines or systems that can perform operations that would typically need human intelligence. AI is a rapidly developing technology that has grabbed the interest of researchers from all across the globe in the healthcare industry. Advancements in machine learning and data analysis have revolutionized oral health diagnosis, treatment, and management, making it a transformative force in healthcare, particularly in dentistry. Particularly in dentistry, AI is becoming increasingly prevalent as it contributes to the diagnosis of oro-facial diseases, offers treatment modalities, and manages practice in the dental operatory. All dental disciplines, including oral medicine, operative dentistry, pediatric dentistry, periodontology, orthodontics, oral and maxillofacial surgery, prosthodontics, and forensic odontology, have adopted AI. The majority of AI applications in dentistry are for diagnoses based on radiographic or optical images, while other tasks are less applicable due to constraints such as data availability, uniformity, and computational power. Evidence-based dentistry is considered the gold standard for decision making by dental professionals, while AI machine learning models learn from human expertise. Dentistry AI and technology systems can provide numerous benefits, such as improved diagnosis accuracy and increased administrative task efficiency. Dental practices are already implementing various AI applications, such as imaging and diagnosis, treatment planning, robotics and automation, augmented and virtual reality, data analysis and predictive analytics, and administrative support. The dentistry field has extensively used artificial intelligence to assist less-skilled practitioners in reaching a more precise diagnosis. These AI models effectively recognize and classify patients with various oro-facial problems into different risk categories, both individually and on a group basis. The objective of this descriptive review is to review the most recent developments of AI in the field of dentistry.

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人工智能在牙科:一个描述性的回顾。
人工智能(AI)是计算机科学的一个领域,专注于设计可以执行通常需要人类智能的操作的机器或系统。人工智能是一项快速发展的技术,已经引起了全球医疗保健行业研究人员的兴趣。机器学习和数据分析的进步彻底改变了口腔健康的诊断、治疗和管理,使其成为医疗保健领域,特别是牙科领域的变革力量。特别是在牙科领域,人工智能正变得越来越普遍,因为它有助于口腔-面部疾病的诊断,提供治疗模式,并管理牙科手术的实践。包括口腔医学、口腔外科、儿童牙科、牙周病学、正畸学、口腔颌面外科、口腔修复学和法医牙科学在内的所有牙科学科都采用了人工智能。牙科领域的大多数人工智能应用都是基于放射或光学图像的诊断,而其他任务由于数据可用性、一致性和计算能力等限制而不太适用。循证牙科被认为是牙科专业人员决策的黄金标准,而人工智能机器学习模型则从人类的专业知识中学习。牙科人工智能和技术系统可以提供许多好处,例如提高诊断准确性和提高管理任务效率。牙科诊所已经在实施各种人工智能应用,如成像和诊断、治疗计划、机器人和自动化、增强现实和虚拟现实、数据分析和预测分析,以及行政支持。牙科领域已经广泛使用人工智能来帮助技能较差的从业者进行更精确的诊断。这些人工智能模型有效地识别和分类患有各种口腔面部问题的患者,并将其分为不同的风险类别,无论是个人还是群体。这篇描述性综述的目的是回顾人工智能在牙科领域的最新发展。
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来源期刊
Bioengineering
Bioengineering Chemical Engineering-Bioengineering
CiteScore
4.00
自引率
8.70%
发文量
661
期刊介绍: Aims Bioengineering (ISSN 2306-5354) provides an advanced forum for the science and technology of bioengineering. It publishes original research papers, comprehensive reviews, communications and case reports. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. All aspects of bioengineering are welcomed from theoretical concepts to education and applications. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, four key features of this Journal: ● We are introducing a new concept in scientific and technical publications “The Translational Case Report in Bioengineering”. It is a descriptive explanatory analysis of a transformative or translational event. Understanding that the goal of bioengineering scholarship is to advance towards a transformative or clinical solution to an identified transformative/clinical need, the translational case report is used to explore causation in order to find underlying principles that may guide other similar transformative/translational undertakings. ● Manuscripts regarding research proposals and research ideas will be particularly welcomed. ● Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. ● We also accept manuscripts communicating to a broader audience with regard to research projects financed with public funds. Scope ● Bionics and biological cybernetics: implantology; bio–abio interfaces ● Bioelectronics: wearable electronics; implantable electronics; “more than Moore” electronics; bioelectronics devices ● Bioprocess and biosystems engineering and applications: bioprocess design; biocatalysis; bioseparation and bioreactors; bioinformatics; bioenergy; etc. ● Biomolecular, cellular and tissue engineering and applications: tissue engineering; chromosome engineering; embryo engineering; cellular, molecular and synthetic biology; metabolic engineering; bio-nanotechnology; micro/nano technologies; genetic engineering; transgenic technology ● Biomedical engineering and applications: biomechatronics; biomedical electronics; biomechanics; biomaterials; biomimetics; biomedical diagnostics; biomedical therapy; biomedical devices; sensors and circuits; biomedical imaging and medical information systems; implants and regenerative medicine; neurotechnology; clinical engineering; rehabilitation engineering ● Biochemical engineering and applications: metabolic pathway engineering; modeling and simulation ● Translational bioengineering
期刊最新文献
3D-Printing of Artificial Aortic Heart Valve Using UV-Cured Silicone: Design and Performance Analysis. Precision Imaging for Early Detection of Esophageal Cancer. Systematic Review and Meta-Analysis of Remineralizing Agents: Outcomes on White Spot Lesions. Emerging Strategies for Revascularization: Use of Cell-Derived Extracellular Vesicles and Artificial Nanovesicles in Critical Limb Ischemia. Experimental Biomechanics of Neonatal Brachial Plexus Avulsion Injuries Using a Piglet Model.
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