ArticleThe Saudi dental journal2024
Integrating Critical thinking and embracing Artificial Intelligence: Dual Pillars for advancing dental education.
Article in The Saudi dental journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of deep machine learning in dental education: a systematic review of effectiveness in dental students' teaching learning outcomes.Evidence-based dentistry · 2026Pooled it
- Can artificial intelligence training improve clinical decision-making during deep caries excavation?Evidence-based dentistry · 2026Trial
- From Tradition to Future in Veterinary Public Health Education: Students' Attitudes, Anxiety and Experiences With AI-Supported Learning.Veterinary medicine and science · 2026Article
- Preparing the AI-Ready Dentist: A Call for a Competency Framework in Dental Education.International dental journal · 2026Article
- Digital intelligence in dental technology education: curriculum and practical teaching reform.Frontiers in medicine · 2026Review
- Readiness to use artificial intelligence: a comparative study among dental faculty members and students.BMC medical education · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Among various clinical skills, critical thinking (CT) is foundational for quality patient care. However, existing literature suggests deficiencies in applying analytical reasoning skills in healthcare education. As CT integration gains momentum in dentistry, the rapid advancement of artificial intelligence (AI) technologies introduces new dynamics. This article explores the potential impacts of emerging technologies of AI on the development and application of CT in the dental profession. Methods: A narrative literature review of English-language publications was conducted using sources such as PubMed, MEDLINE, ScienceDirect, Wiley-Online-Library, and Oral-Health-Group. Our review focused on relevant articles published up to June 30,2024, representing a peak period of CT awareness. The search terms used included: "Critical thinking," "healthcare," "rubric," "dental education," and "Artificial intelligence." No inclusion or exclusion criteria were applied. The search strategies aimed to synthesize collective healthcare experience in implementing CT in education, providing a cohesive understanding of the current state of CT and highlighting gaps in its integration in education. Results: Strategies for incorporating CT into dental education are still developing. Although dental educators recognize the importance of CT-based curricula, barriers hinder effective implementation. Additionally, the rise of advanced technologies with human-like cognitive and non-cognitive capabilities necessitates agile, adaptable strategies to integrate CT in dental education. A simplified model is proposed for integrating AI into the development of CT skills at multiple levels in dental education. Furthermore, a rubric for assessing CT skills in problem-based learning is presented. Conclusion: This review emphasizes the urgent need to strategically prioritize CT integration in dental education. Inadequate application of CT may increase the risk of AI misuse, and overreliance on AI could potentially undermine clinical decision-making. We propose that emerging technologies should be embraced as tools to enhance the development of CT skills while mitigating potential negative impacts. Plausible approaches to addressing this challenge are outlined.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.