Evidence map›Paper›PMID 38293587›Full record

ReviewJournal of Taibah University Medical Sciences2024

Attitudes, knowledge, and perceptions of dentists and dental students toward artificial intelligence: a systematic review.

Mahmood Dashti, Jimmy Londono, Shohreh Ghasemi, Zohaib Khurshid, Farshad Khosraviani, Negar Moghaddasi, Muhammad S Zafar, Delband Hefzi

Open access · goldAbstract readReview
In one paragraph

Review in Journal of Taibah University Medical Sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 5% of its field
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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Design, Implementation and Evaluation of Educational Aid Game for Differential Diagnosis of Oral Lesions Through Mobile Learning.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
    Trial
  5. Article
  6. Bridging Borders, Bridging Barriers: Artificial Intelligence for Dental Education.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
    Article
  7. Article
  8. Article
  9. Global Trends in the Use of Artificial Intelligence in Dental Education: A Bibliometric Analysis.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. AI-Powered Microscopic Diagnostic Techniques forJournal of dentistry (Shiraz, Iran) · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

8 authors at 8 institutions in 6 countries.

Mahmood DashtiDepartment of Dentistry, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Jimmy LondonoDepartment of Oral and Maxillofacial Surgery, Board Certified Prosthodontist, FACP, Professor and Director of the Prosthodontics Residency Program and the Ronald Goldstein Center for Esthetics and Implant Dentistry, Dental College of Georgia at Augusta University, Augusta, GA, USA.
Shohreh GhasemiMSc of Trauma and Craniofacial Reconstruction, Queen Mary College, London, UK.
Zohaib KhurshidDepartment of Prosthodontics and Dental Implantology, College of Dentistry, King Faisal University, Al-Ahsa, Saudi Arabia.
Farshad KhosravianiDepartment of Dentistry, UCLA School of Dentistry, Los Angeles, CA, USA.
Negar MoghaddasiDepartment of Dentistry, College of Dental Medicine, Western University of Health Sciences, CA, USA.
Muhammad S ZafarDepartment of Restorative, Dentistry, Taibah University, Almadinah Almunawwarah, KSA.
Delband HefziDepartment of Dentistry, School of Dentistry, Tehran University of Medical Science, Tehran, Iran.
Augusta University · USChulalongkorn University · THQueen Mary University of London · GBRiphah International University · PKShahid Beheshti University of Medical Sciences · IRUniversity of California, Los Angeles · USUniversity of Tehran · IRWestern University of Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This research was aimed at assessing comprehension, attitudes, and perspectives regarding artificial intelligence (AI) in dentistry. The null hypothesis was a lack of foundational understanding of AI in dentistry. Methods: This systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted in May 2023. The eligibility criteria included cross-sectional studies published in English until July 2023, focusing solely on dentists or dental students. Data on AI knowledge, use, and perceptions were extracted and assessed for bias risk with the Joanna Briggs Institute checklist. Results: Of 408 publications, 22 relevant articles were identified, and 13 studies were included in the review. The average basic AI knowledge score was 58.62 % among dental students and 71.75 % among dentists. More dental students (72.01 %) than dentists (62.60 %) believed in AI's potential for advancing dentistry. Conclusions: Thorough AI instruction in dental schools and continuing education programs for practitioners are urgently needed to maximize AI's potential benefits in dentistry. An integrated PhD program could drive revolutionary discoveries and improve patient care globally. Embracing AI with informed understanding and training will position dental professionals at the forefront of technological advancements in the field.

Indexed as

Artificial intelligenceDeep learningDental practitionerDental studentsDentistryMachine learning

Identifiers

PMID38293587
PMCPMC10825554
OpenAlexW4390948816

What OpenQuestion 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 OpenQuestion graph.