Evidence map›Paper›PMID 37700959›Full record

ArticleCureus2023

Future of Using Robotic and Artificial Intelligence in Implant Dentistry.

Abdullah Saeed, Mohammed Alkhurays, Mohammed AlMutlaqah, Mohammed AlAzbah, Sarah A Alajlan

Abstract readEditorial
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

7 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
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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

5 authors.

Abdullah SaeedDepartment of Research, Ministry of Health, Abha, SAU.
Mohammed AlkhuraysDepartment of Prosthodontics, Dental Center, Abha, SAU.
Mohammed AlMutlaqahDepartment of Prosthodontics, Ministry of Health, Abha, SAU.
Mohammed AlAzbahDepartment of Dental Health, Ministry of Health, Abha, SAU.
Sarah A AlajlanClinical Pharmacy, Almaarefa University, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of robotic technology and artificial intelligence (AI) in implant dentistry has ushered in a new era of precision and efficiency. This abstract aims to understand the integration, implications, potential, and challenges of robotic technology and AI in implant dentistry. Robotic systems offer unparalleled accuracy in implant placement, reducing human error and improving treatment outcomes. AI algorithms analyze extensive patient data to assist in diagnosis, treatment planning, and implant design, optimizing the overall process. Successful case studies demonstrate improved implant survival rates and patient satisfaction. However, ethical considerations and the balance between human expertise and reliance on technology must be addressed. Ongoing research aims to enhance these technologies and integrate them with digital workflows. Collaboration and knowledge sharing among practitioners, researchers, and industry experts are essential to drive progress and ensure responsible implementation. The future of implant dentistry lies in harnessing the potential of robotics and AI while upholding the highest standards of patient care and ethical practice.

Indexed as

ai and robotics in healthcareartificial intelligencedentisthealthcareimplant dentistry

Identifiers

PMID37700959
PMCPMC10494478

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.