Evidence map›Paper›PMID 40822795›Full record

ArticleBioinformation2025

AI assisted surgical guides for dental implant placement.

Saurabh Gupta, Dinesh Yadav, Anubhuti Anubhuti, Lubna Tabassum Siddiqui, Deepa Rudrappa, Abdul KalamAzad, Alkananda Sahoo

Abstract read
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
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

7 authors.

Saurabh GuptaConsultant, Periodontist and Implantologist, Jammu, Jammu and Kashmir, India.
Dinesh YadavDepartment of Oral and Maxillofacial Surgery, Ekalavya Dental College & Hospital, Rajasthan, India.
Anubhuti AnubhutiConsultant, Prosthodontist, Dental Smile, Chandigarh, Haryana, India.
Lubna Tabassum SiddiquiDepartment of Periodontics, Swargiya Dadasaheb Kalmegh Smruti Dental College and Hospital, Wanadongri, Hingna, Nagpur, Maharashtra, India.
Deepa RudrappaDepartment of Periodontics and Implantology, SJM Dental College and Hospital, Chitradurga-577501, Karnataka, India.
Abdul KalamAzadDepartment of Oral and Maxillofacial Surgery, College of Dentistry, Qassim University, Saudi Arabia.
Alkananda SahooDepartment of Oral and Maxillofacial Pathology, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Patia, Bhubaneswar-751024, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dental implant placement requires high precision and advancements in technology, such as AI-assisted surgical guides. Therefore, it is of interest to compare AI-assisted surgical guides, conventional guides and freehand techniques in dental implant placement. Hence, 75 artificial jaw models were divided into three groups of 25 each. The implants were placed using standardized methods. The AI guides were created using machine learning software (PlanmecaRomexis®, India). Statistical analysis (SPSS v25) used Shapiro-Wilk, Levene's test, ANOVA with Tukey, p<0.05, and ICC for reliability.AI-assisted surgical guides offer superior accuracy, stability and implant success rates.

Indexed as

accuracyAI-assisted surgical guidesangular deviationdental implantsdepth deviationimplant stabilityimplant success rateinsertion torqueresonance frequency analysis

Identifiers

PMID40822795
PMCPMC12357704

What OpenQuestion holds

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LicenceCC BY
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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.