Evidence map›Paper›PMID 38034167›Full record

ReviewCureus2023

The Impact of Artificial Intelligence on Dental Implantology: A Narrative Review.

Abdulaziz M Altalhi, Faisal S Alharbi, Mazen A Alhodaithy, Bandary S Almarshedy, Majida Y Al-Saaib, Raneem M Al Jfshar, Abdulrahman S Aljohani, Adeeb H Alshareef, Mona Muhayya, Noura H Al-Harbi

Registry-linked trialAbstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06967090 (Accuracy of Guided Implant Placement Using Artificial Intelligence Segmentation Versus Conventional Technique), which is not on this map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–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.

NCT06967090 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Accuracy of Guided Implant Placement Using Artificial Intelligence Segmentation Versus Conventional Technique: A Randomized Clinical Trial

TypeinterventionalSponsorFayoum UniversityRan2025 to 2026Enrolled20ConditionsDental ImplantArmsImplant surgery using surgical guide
3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Recasting of Periodontal Diagnosis.Journal of pharmacy & bioallied sciences · 2025
    Review
  13. Article
  14. Digital Technologies in Implantology: A Narrative Review.Bioengineering (Basel, Switzerland) · 2025
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  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

10 authors.

Abdulaziz M AltalhiDentistry, Ministry of Health, Riyadh, SAU.
Faisal S AlharbiDentistry, Ministry of Health, Riyadh, SAU.
Mazen A AlhodaithyDentistry, Ministry of Health, Riyadh, SAU.
Bandary S AlmarshedyFamily Medicine, Dentistry, Ministry of Health, Riyadh, SAU.
Majida Y Al-SaaibDentistry, Ministry of Health, Riyadh, SAU.
Raneem M Al JfsharDentistry, King Saud University, Riyadh, SAU.
Abdulrahman S AljohaniDentistry, Safwat Al Muhaidib Dental Group, Yanbu, SAU.
Adeeb H AlshareefDentistry, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Mona MuhayyaDentistry, Ministry of Health, Riyadh, SAU.
Noura H Al-HarbiDentistry, Ministry of Health, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implant dentistry has witnessed a transformative shift with the integration of artificial intelligence (AI) technologies. This article explores the role of AI in implant dentistry, emphasizing its impact on diagnostics, treatment planning, and patient outcomes. AI-driven image analysis and deep learning algorithms enhance the precision of implant placement, reducing risks and optimizing aesthetics. Moreover, AI-driven data analytics provide valuable insights into patient-specific treatment strategies, improving overall success rates. As AI continues to evolve, it promises to reshape the landscape of implant dentistry and lead in an era of personalized and efficient oral healthcare.

Indexed as

aiartifical intelligenceartifical intelligence and roboticsdental implantrobot-assisted

Identifiers

PMID38034167
PMCPMC10685062

What OpenQuestion holds

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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.