Evidence map›Paper›PMID 41002686›Full record

ReviewDentistry journal2025

Automated Detection of Periodontal Bone Loss in Two-Dimensional (2D) Radiographs Using Artificial Intelligence: A Systematic Review.

Alin M Iacob, Marta Castrillón Fernández, Laura Fernández Robledo, Enrique Barbeito Castro, Matías Ferrán Escobedo Martínez

Abstract readReview
In one paragraph

Review in Dentistry journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
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.

Alin M IacobDepartment of Surgery and Medical-Surgical Specialities, School of Medicine and Health Sciences, University Dentistry Clinic, University of Oviedo, 33006 Oviedo, Spain.
Marta Castrillón FernándezDepartment of Surgery and Medical-Surgical Specialities, School of Medicine and Health Sciences, University Dentistry Clinic, University of Oviedo, 33006 Oviedo, Spain.
Laura Fernández RobledoDepartment of Surgery and Medical-Surgical Specialities, School of Medicine and Health Sciences, University Dentistry Clinic, University of Oviedo, 33006 Oviedo, Spain.
Enrique Barbeito CastroCentral University Hospital of Asturias, 33003 Oviedo, Spain.
Matías Ferrán Escobedo MartínezDepartment of Surgery and Medical-Surgical Specialities, School of Medicine and Health Sciences, University Dentistry Clinic, University of Oviedo, 33006 Oviedo, Spain.ORCID 0000-0002-0301-7495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence is an emerging tool that is being used in multiple fields, including dentistry. An example of this is the diagnosis of periodontal bone loss by analyzing two-dimensional (2D) radiographs (periapical, bitewing, and panoramic).

Indexed as

artificial intelligenceconvolutional neural networkperiapical radiographperiodontal bone loss

Identifiers

PMID41002686
PMCPMC12468800

What Socratic 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 Socratic graph.