Evidence map›Paper›PMID 38970241›Full record

ArticleClinical and experimental dental research2024

Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross-Sectional Study.

Dalal Hammoudi Halat, Rula Shami, Alaa Daud, Waqas Sami, Abderrezzaq Soltani, Ahmed Malki

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Article in Clinical and experimental dental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  5. Evaluating Dental Students' Perspectives on Artificial Intelligence (AI)-Driven Large Language Models in Education in Saudi Arabia.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dalal Hammoudi HalatAcademic Quality Department, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0001-6907-4110
Rula ShamiDepartment of Clinical Oral Health Sciences, College of Dental Medicine, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0002-9269-0402
Alaa DaudDepartment of Clinical Oral Health Sciences, College of Dental Medicine, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0003-3866-8906
Waqas SamiDepartment of Pre-Clinical Affairs, College of Nursing, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0001-7948-1190
Abderrezzaq SoltaniAcademic Quality Department, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0001-7199-4215
Ahmed MalkiAcademic Quality Department, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0001-9722-2336

Funding

The open access fees for this article are provided by Qatar National Library.
6 · The paper itself

Abstract

objectivesWith Artificial Intelligence (AI) profoundly affecting education, ensuring that students in health disciplines are ready to embrace AI is essential for their future workforce integration. This study aims to explore dental students' readiness to use AI, perceptions about AI in health education and healthcare, and their AI-related educational needs. MATERIAL AND

methodsA cross-sectional survey was conducted among dental students at the College of Dental Medicine, Qatar University. The survey assessed readiness for AI using the Medical Artificial Intelligence Readiness Scale (MAIRS). Students' perceptions of AI in healthcare and health education and their educational needs were also explored.

resultsA total of 94 students responded to the survey. AI readiness scores were average (3.3 ± 0.64 out of 5); while participants appeared more ready for the vision and ethics domains of MAIRS, they showed less readiness regarding cognition and ability. Participants scored average on AI perceptions (3.35 ± 0.45 out of 5), with concerns regarding AI risks and disadvantages. They expressed a high need for knowledge and skills related to AI use in healthcare (84%), AI for health-related research (81.9%), and AI in radiology and imaging procedures (79.8%). Student readiness had a significant correlation with AI perceptions and perceived level of AI knowledge.

conclusionsThis is the first study in Qatar exploring dental students' AI readiness, perceptions, and educational needs regarding AI applications in education and healthcare. The perceived AI knowledge gaps could inform future curricular AI integration. Advancing AI skills and deepening AI comprehension can empower future dental professionals through anticipated advances in the AI-driven healthcare landscape.

Indexed as

Artificial IntelligenceEducation, DentalStudents, DentalAdultAttitude of Health PersonnelCross-Sectional StudiesFemaleHumansMaleNeeds AssessmentQatarSurveys and QuestionnairesYoung Adultartificial intelligencedental studentshealth education

Identifiers

PMID38970241
PMCPMC11226543

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.