Evidence map›Paper›PMID 41170091›Full record

ArticleBioinformation2025

A short review on the role of Artificial Intelligence (AI) in dental implants.

Rahul K Chaudhari, Srilatha T, Vipin Dehane, Chinmay Gokhale, Pragathi R Bhat, Hitesh Desarda

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rahul K ChaudhariDepartment of Oral and Maxillofacial Surgery, Government Dental College and Hospital, Jalgaon, Maharashtra, India.
Srilatha TConsultant, Oral and Maxillofacial Surgery, Hyderabad, India.
Vipin DehaneDepartment of Oral and Maxillofacial Surgery and Department of Dentistry and Maxillofacial Surgery, Fortis Hospital, Mumbai, Maharashtra, India.
Chinmay GokhaleDepartment of Oral and Maxillofacial Surgery, YCM Dental College, Ahilyanagar, Maharashtra, India.
Pragathi R BhatDepartment of Periodontics and Oral Implantology, SDM College of Dental Sciences and Hospital, Dharwad, Karnataka, India.
Hitesh DesardaDepartment of Periodontics, Government Dental College and Hospital, Jalgaon, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implant dentistry heavily depends on Artificial Intelligence (AI) technology. This will modify the current state of medical practices using scientific evidence. The integration of AI in implant dentistry has emerged as a transformative approach, enhancing precision, efficiency, and predictability across various stages of treatment. AI's potential in diagnosis, treatment planning, surgical execution is the game changer in implant dentistry. Hence, we the known potential of AI to redefine clinical work and improve treatment outcomes in implant dentistry.

Indexed as

Artificial intelligenceDental ImplantImplant dentistryrobotic surgeryvirtual reality

Identifiers

PMID41170091
PMCPMC12569895

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.