Evidence map›Paper›PMID 40061754›Full record

ReviewJournal of pharmacy & bioallied sciences2024

Artificial Intelligence and Dentistry: The Future.

Vishnudas Dinesh Prabhu, Kottachery Saidath, Nitin Suvarna, Imran Mohtesham, Shailesh Shenoy, Rachana Vishnudas Prabhu

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 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. 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.

Vishnudas Dinesh PrabhuDepartment of Oral Pathology, Yenepoya Dental College, Mangalore, Karnataka, India.
Kottachery SaidathDepartment of Orthodontics, A. B. Shetty Memorial Institute of Dental Sciences, Mangalore, Karnataka, India.
Nitin SuvarnaDepartment of Endodontics, Yenepoya Dental College, Mangalore, Karnataka, India.
Imran MohteshamDepartment of Oral Pathology, Yenepoya Dental College, Mangalore, Karnataka, India.
Shailesh ShenoyDepartment of Pediatric Dentistry, Yenepoya Dental College, Mangalore, Karnataka, India.
Rachana Vishnudas PrabhuDepartment of Oral Medicine and Radiology, Yenepoya Dental College, Mangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is the ability of machines to perform tasks that normally require human intelligence. Although it was first conceptualized in the 1950s, it has developed rapidly in recent times. AI can undertake complex predictions and make decisions due to its ability to mimic human intelligence. Its popularity has grown exponentially in the health sector including dentistry. It is useful in all dental disciplines, including endodontics, oral medicine and radiology, periodontics, prosthodontics, oral pathology, and forensic odontology. This review describes the history, types, and uses of AI across different disciplines. This will help dental professionals to understand the utility of AI and improve their efficiency toward better patient care.

Indexed as

Artificial intelligencedentistryfuture

Identifiers

PMID40061754
PMCPMC11888630

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.