Exploring dental professionals' outlook on the future of dental care amidst the integration of artificial intelligence in dentistry: a pilot study in Pakistan.
The purpose of this study is to explore the perspectives, familiarity, and readiness of dental faculty members regarding the integration and application of artificial intelligence (AI) in dentistry, with a focus on the possible effects on dental education and clinical practice.
In a mix-method cross-sectional quantitative and quantitative study conducted between June 1st and August 30th, 2023, the perspectives of faculty members from a public sector dental college in Pakistan regarding the function of AI were explored. This study used qualitative as well as quantitative techniques to analyse faculty's viewpoints on the subject. The sample size was comprised of twenty-three faculty members. The quantitative data was analysed using descriptive statistics, while the qualitative data was analysed using theme analysis.
Position-specific differences in faculty familiarity underscore the value of individualized instruction. Surprisingly few had ever come across AI concepts in their professional lives. Nevertheless, many acknowledged that AI had the potential to improve patient outcomes. The majority thought AI would improve dentistry education. Participants suggested a few dental specialties where AI could be useful.
The study emphasizes the significance of addressing in dental professionals' knowledge gaps about AI. The promise of AI in dentistry calls for specialized training and teamwork between academic institutions and AI developers. Graduates of dentistry programs who use AI are better prepared to navigate shifting environments. The study highlights the positive effects of AI and the value of faculty involvement in maximizing its potential for better dental education and practice.
Qamar W
，Khaleeq N
，Nisar A
，Tariq SF
，Lajber M
... -
《BMC Oral Health》
Exploring Faculty Preparedness for Artificial Intelligence-Driven Dental Education: A Multicentre Study.
Introduction In the modern era, technology, including artificial intelligence (AI), is the centre of digital innovation. AI is revolutionising numerous fields, including the healthcare sector, globally. Incorporating AI in dental education may help in improving the diagnostic accuracy, learners' experiences, and effectiveness of the management of dental education institutions. However, successful implementation of AI requires the faculty's willingness to incorporate it into their practices. Thus, this research aims to explore the readiness of faculty members to integrate AI into dental education. Methodology The study employed a qualitative exploratory design to gather in-depth insights into faculty readiness for AI-driven dental education. Purposive sampling was employed, and 21 faculty members from public and private dental colleges in South Punjab participated in semi-structured interviews. The interviews focused on understanding participants' perceptions, experiences, and challenges related to AI integration in dental education. Thematic analysis was conducted utilising Braun and Clarke's framework to identify key themes and subthemes from the qualitative data using inductive coding. Results Five major themes and 14 subthemes emerged from the data analysis. Faculty members had low AI literacy coupled with diverse perceptions; some participants perceived AI as a solution for revolutionising teaching and learning, while others criticised its misuse as academic misconduct by students, an effect on students' critical thinking, and a threat to conventional jobs. However, most of the respondents also considered AI beneficial for students with remote access or from marginalised populations in terms of accessing and learning from limited resources. Concerns that participants highlighted included a lack of training opportunities, limited facilities, ethical concerns pertaining to data privacy, and assessment bias. Some of the recommendations provided by the respondents include the provision of training opportunities, the allocation of resources and infrastructure, and continuous effective support from institutions for the integration of AI in dental education. Conclusions This study emphasised the readiness of the faculty when it comes to the integration of AI in dental education. The faculty considered AI favourable for digitization and innovative education, although there is a lack of awareness of its application. Regarding the benefits of utilising AI, respondents highlighted its quick response, prediction of students' performance, and flexibility in learning. The challenges included lack of awareness regarding its implementation, inadequate training, lack of availability of resources, lack of institutional support, the problem of data confidentiality, and resistance to change. Suggestions included the provision of technical support, skills training, and the provision of required infrastructure. Participants recommended that AI tools must incorporate cultural and contextually specific content, use technical support for problems, and incorporate constant response systems to improve the AI tools for novice users, especially within developing regions such as Pakistan.
Al-Zubaidi SM
，Muhammad Shaikh G
，Malik A
，Zain Ul Abideen M
，Tareen J
，Alzahrani NSA
，Ahmed Siddiqui A
... -
《Cureus》
Artificial intelligence knowledge, attitudes and application perspectives of undergraduate and specialty students of faculty of dentistry in Turkey: an online survey research.
This study aimed to investigate the knowledge, attitudes, and perceptions of fourth- and fifth-year undergraduate as well as specialty dentistry students in Turkey concerning artificial intelligence (AI) and its applications.
The study was conducted between October 16, 2023, and January 16, 2024, with participants consisting of volunteers from dental faculties in Turkey. A total of 335 undergraduate students and 62 specialty students participated in the survey, which utilized non-probability convenience and snowball sampling methods. Cronbach's alpha was utilized to measure the internal consistency of the scale. Statistical analysis was performed using IBM SPSS version 26.0, with quantitative data presented as mean ± standard deviation and categorical data as frequency (percentage). The statistical level was set at 0.05, and the analysis involved Pearson's Chi-square test and Fisher-Freeman-Halton tests.
The results indicate that undergraduate and specialty students perceive the integration of large datasets as the primary advantage of AI. The speed, objectivity, and potential to reduce misdiagnosis rates associated with AI are also highlighted. Undergraduate students express more significant concern about the impact of AI on patient understanding and empathy compared to specialty students. Additionally, both groups strongly advocate for the inclusion of AI-related courses in dental education and acknowledge the indispensability of AI in dental practice. The significant roles of AI in dentistry, such as providing evidence-based dental approaches and compensating for human intellectual limitations, are widely recognized. Furthermore, consensus exists that AI will primarily assist in diagnosis and treatment decisions.
The findings emphasize the importance of cautiously managing AI's role in healthcare services and underscore the need to prioritize patient privacy and data security. AI should be regarded as a complement to the work of dental professionals rather than a substitute. The study recommends further research involving a larger and more diverse sample to obtain a comprehensive understanding of attitudes toward AI in dentistry.
Yılmaz C
，Erdem RZ
，Uygun LA
《BMC Medical Education》
A closer look at the current knowledge and prospects of artificial intelligence integration in dentistry practice: A cross-sectional study.
Healthcare professionals have expressed worries about using AI, while others anticipate more work opportunities in the future and better patient care. Integrating AI into practice will directly impact dentistry practice. The purpose of the study is to evaluate organizational readiness, knowledge, attitude, and willingness to integrate AI into dentistry practice.
a cross-sectional exploratory study of dentists, academic faculty and students who practice and study dentistry in UAE. Participants were invited to participate in a previously validated survey used to collect participants' demographics, knowledge, perceptions, and organizational readiness.
One hundred thirty-four responded to the survey with a response rate was 78% from the invited group. Results showed excitement to implement AI in practice accompanied by medium to high knowledge and a lack of education and training programs. As a result, organizations were not well prepared and had to ensure readiness for AI implementation.
An effort to ensure professional and student readiness will improve AI integration in practice. In addition, dental professional societies and educational institutions must collaborate to develop proper training programs for dentists to close the knowledge gap.
Hamd Z
，Elshami W
，Al Kawas S
，Aljuaid H
，Abuzaid MM
... -
《Heliyon》
ResearchGate
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