Evidence map›Paper›PMID 39926925›Full record

ReviewJournal of pharmacy & bioallied sciences2024

Artificial Intelligence - Blessing or Curse in Dentistry? - A Systematic Review.

Y Greeshma Vani, Suma B Chalapathy, Pallavi Pandey, Shailendra K Sahu, A Ramesh, Jayashree Sajjanar

Abstract readReview
In one paragraph

Review in Journal of pharmacy & bioallied sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Y Greeshma VaniDepartment of Prosthodontics and Crown and Bridge, G. Pullareddy Dental College and Hospital, Kurnool, Andhra Pradesh, India.
Suma B ChalapathyDepartment of Prosthodontics and Crown and Bridge, Lenora Institute of Dental Sciences, Rajahmundry, Andhra Pradesh, India.
Pallavi PandeyDepartment of Pedodontics, Career Post Graduate Institute of Dental Sciences, Lucknow, Uttar Pradesh, India.
Shailendra K SahuDepartment of Prosthodontics and Crown and Bridge, Chattisgarh Dental College and Research Institute, Chattisgarh, India.
A RameshDepartment of Periodontics, G. Pullareddy Dental College and Hospital, Kurnool, Andhra Pradesh, India.
Jayashree SajjanarDepartment of Prosthodontics and Crown and Bridge, Swargiya Dadasaheb Kalmegh Smruti Dental College and Hospital, Nagpur, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review examines the diverse applications of AI in all areas of dentistry. The search was conducted using the terms "Artificial Intelligence," "Dentistry," "Machine learning," "Deep learning," and "Diagnostic System." Out of 607 publications analyzed from 2010 to 2024, only 13 were selected for inclusion based on their relevance and publication year. AI in dentistry offers both advantages and challenges. It enhances diagnosis, therapy, and patient outcomes through complex algorithms and massive datasets. However, issues such as data privacy, dental professional job displacement, and the necessity for thorough validation and regulation to ensure safety and efficacy remain significant concerns.

Indexed as

Artificial intelligencedentaldentistrydiagnosis

Identifiers

PMID39926925
PMCPMC11804999

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.