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Artificial Intelligence in Dentistry: A Descriptive Review

计算机科学 分析 转化式学习 医学诊断 牙科 人工智能 数据科学 医学 医学物理学 心理学 病理 教育学
作者
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 Thakare,Srinivasulu Sakhamuri
出处
期刊:Bioengineering [Multidisciplinary Digital Publishing Institute]
卷期号:11 (12): 1267-1267 被引量:18
标识
DOI:10.3390/bioengineering11121267
摘要

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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