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European Journal Of Dental Education
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Reasons For (not) Choosing Dental Treatments—a Qualitative Study Based On Patients’ Perspective
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Authors: Andrzej Thurzo 1, * , Martin Struga 1, Renata Urban 1, Jana Surovkova 1 and Calvin I. Afrashtehfar 2, 3, *
Evidence-Based Practice Unit, Department of Clinical Sciences, Faculty of Dentistry, Ajman University, Ajman City P.O. Box 346, United Arab Emirates
Fall 2021 Penn Dental Medicine Journal By Penn Dental Medicine
Received: December 24, 2022 / Revised: January 17, 2023 / Accepted: January 29, 2023 / Published: January 31, 2023
In this intellectual work, clinical and didactic aspects of dentistry were confronted with practical applications of artificial intelligence (AI). The aim was to provide a brief analysis of the impact of the use of AI in dental education from 2020 and an up-to-date view of the changes to come. Additionally, this review provides guidelines for updating the undergraduate dental curriculum. and graduate education regarding advances in AI applications and their impact on dentistry. Not surprisingly, most dentists have limited knowledge and skills to evaluate AI applications because they were not trained to do so. Also, AI technology has developed rapidly in recent years. OpenAI Inc. The true reliability and capabilities of ChatGPT are considered a turning point in the era of creative AI. Updating the curriculum in dental institutions is imperative as advanced deep learning approaches cover the clinical areas of dentistry and remodeling diagnosis, treatment planning, management and telemedicine screening. With recent developments in AI language models, communication with patients will change, and the basics of dental education, including writing essays, theses or scientific papers, will have to adapt. However, there is growing concern about its ethical and legal implications and a greater consensus is needed on the safe and responsible implementation of AI in dental education.
Current clinical trends and research advances in the use of artificial intelligence (AI) in dentistry have seen impressive development and growth over the past two decades. It took more than a decade for three-dimensional (3D) printing technology to disrupt current dental workflows, which was considered an unprecedented rapid advance [1, 2, 3]. AI took less than half the time to make a more significant impact on the clinical and pedagogical aspects of dentistry. The coronavirus pandemic has accelerated the adoption of virtual technologies in dental education [4, 5, 6, 7, 8]. Since the advent of Web 2.0 technologies revolutionized e-learning more than a decade ago [9, 10, 11, 12], a new generation of AI systems such as ChatGPT represents a critical turning point in the AI category. . release events [13, 14, 15, 16].
3D scanning is already commonplace with smartphones and apps to support patient AI diagnosis and therapy in dentistry, but development is still ongoing. For example, the dental community has shown interest in using Metaverse. Metaverses are virtual environments that simulate the natural world and can be used in dental education and telemedicine consultations. The use of Metaverse can also facilitate the use of blockchain technology and smart contracts in the dental industry [17, 18, 19]. The current AI-driven transformation of dental education can be viewed from two perspectives:
Evaluation Of Knowledge, Attitudes, And Clinical Education Of Dental Students About Covid 19 Pandemic [peerj]
A recent study by Lin et al. [20] studied the perception of learning dental materials science by high performing undergraduate (UG) dental students. All learning strategies including ‘memorization and repetition’, ‘peer learning’, ‘resource search’, ‘study planning’, ‘focus in classes’ and ‘use of mnemonics’ can be enhanced by modern technology today. Dental schools should ensure that the curriculum is based on core pedagogical principles and that the teaching approach is clearly aligned with the student’s learning strategies.
In this rapidly changing world, the fundamental curriculum for dental education needs to be revised as health care is fundamentally changing and teaching and learning methods are undergoing a complete transformation. In fact, many advantages can be predicted due to the presence of AI in dentistry. For example, adapting a core dental AI curriculum could help increase the AI literacy of dentists so that they can critically evaluate AI applications and consciously use them [21, 22].
On the dental education curriculum and AI, a recent paper by Schwendike et al. [21] identified four areas of learning outcomes, most outcomes at the ‘knowledge’ level:
Basic definitions and terms, the logic behind AI and the theory of machine learning, the idea of training, validation and testing models, the definition of benchmark tests, the contrast between dynamic and static AI and the black box AI problem. and must know the needs to be explained.
Growing In Dentistry: Mentoring The Dental Professional
Evaluation measures, their interpretation, the relative impact of AI on patient or community health, and relevant examples should be considered.
Issues of generalizability and representativeness, explainability, autonomy and accountability and the need for governance should be emphasized [21].
Schwendike’s group aimed to define a core curriculum for UG and postgraduate (PG) or postgraduate programs that establishes a set of minimum outcomes that students should achieve when taught about dental AI [21].
The implementation of AI in dentistry is a relatively recent development, and the exact timeline for its adoption depends on the specific AI applications being considered. Some possible examples of using AI in dentistry include:
Pdf) A Common European Curriculum For Dental Hygiene
The use of machine learning algorithms to automate the interpretation of dental imaging procedures, such as radiographs and CT scans, has been researched since the 1980s.
The development of AI-powered tools to automatically detect dental caries and other oral diseases has been an active area of research since the 1990s.
The use of AI to support dental diagnosis and treatment planning has recently been explored and is in the early stages of development.
Currently, the use of AI in dentistry is a rapidly growing field, and the exact timeframe for its adoption depends on the specific applications, which is difficult to accurately predict, although it is inevitable that AI will have a significant impact on dental education. in the future. The impact will be impossible to ignore and will likely depend on how AI is used and integrated into clinical practice and academic settings. Some of the potential changes brought about by the use of AI in dentistry include:
How Dental Education Can Be Delivered Successfully Online
Digital diagnostic technologies, such as 3D imaging and machine learning algorithms, feature heavily in dental education.
AI in dentistry will likely place greater emphasis on technology and data analytics in dental education, and dental professionals will need to master these tools. Research shows that AI in dentistry is mainly used to evaluate digital diagnostic methods, especially for the interpretation of oral and maxillofacial radiographs. However, it is increasingly used in other areas of general dentistry as well. Dental radiology and orthodontics are currently on the path to AI implementation. This latest AI boom is growing at an unprecedented rate of 35% since 2017, driven by advances in 3D/4D diagnostics and the availability of Big Data, accelerated by the pandemic [23].
It is obvious that university dental curricula need to be updated due to the AI paradigm shift. The use of AI in dentistry is an emerging field, and the specifics of its inclusion in dental education depend on the availability and effectiveness of AI technology, as well as the willingness of universities to incorporate it. It is also essential to consider the ethical implications of using AI in dentistry and that dental professionals are properly trained in its use. Ultimately, any decision to update the dental curriculum to include AI will require careful consideration and potential input from experts in the field. Demand from dental students and clinical practice will be crucial, as the benefits of AI for patients will be undeniable. Another aspect will be the rapid adaptability of students to implement AI writing tools, which will force teachers to rethink teaching and student assessment in light of AI technology, which can be a gift, a powerful teacher assistant or a tool to cheat students.
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