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Human and Artificial Intelligence: Human intelligence is denoted by perception, interpretation and biological result. In comparison, Artificial intelligence which cannot replace Human Mind in any ways, but largely supports human interpretation and action. In Artificial Intelligence there are two categories-Machine
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creative commons attribution noncommercial License. Which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. Abstract Artificial Intelligence (AI) is a technology that utilizes machines to mimic intelligent human behavior. To a...
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... Machine learning is defined as a process that enables computers to learn without explicit programming. Today, machine learning has enabled a computer to classify or predict an outcome from a large database (Narang 2022). A variety of dental applications can benefit from machine learning models, including disease diagnosis, prognosis, treatment, and clinical workflow automation. ...
This chapter describes the role artificial intelligence (AI) and augmented reality (AR) play in preventing natural disasters such as pandemics, earthquakes, cyclones, etc. Disaster relief agencies can process large volumes of fragmented and complex data with the help of AI. Consequently, it will be able to generate valuable information that can be acted upon more quickly. Despite its infancy, AR will soon become a key digital tool across many industries. Most companies are implementing technologies such as Cognitive AI, Big Data, Augmented Reality, and Cloud Computing. In the recent pandemic situation, AR has been used for remote assistance, diagnostics, checklists, and training. Enhancing e-health experiences by combining AR and AI can also help resolve legal disputes. As part of its legislative process, the European Union (EU) has prioritized this awareness. Due to this, it is vital to emphasize that these new technologies during disaster emergency management are also supported by European legal standards.
... Machine learning is defined as a process that enables computers to learn without explicit programming. Today, machine learning has enabled a computer to classify or predict an outcome from a large database (Narang 2022). A variety of dental applications can benefit from machine learning models, including disease diagnosis, prognosis, treatment, and clinical workflow automation. ...
The chapter deals with the possibilities that artificial intelligence (AI) and augmented reality (AR) provide in everyday dental practice and education, as well as the possibilities for the advancement of this technology in the future. The implementation of augmented reality and virtual reality in AI-powered dental technologies are rapidly evolving into applicable solutions for clinical practice and bridging the gap between the digital and physical world. The development of AR is leading to the development of a new field in dentistry, which can be called “augmented dentistry” that allows the use of new dental technologies to improve various aspects of clinical practice, virtual treatment planning, and the evaluation and modification of virtual treatment outcomes.
