Evidence map›Paper›PMID 40572641›Full record

ReviewMedicina (Kaunas, Lithuania)2025

Artificial Intelligence in Pediatric Orthopedics: A Comprehensive Review.

Andrea Vescio, Gianluca Testa, Marco Sapienza, Filippo Familiari, Michele Mercurio, Giorgio Gasparini, Sergio de Salvatore, Fabrizio Donati, Federico Canavese, Vito Pavone

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

10 authors.

Andrea VescioDepartment of Life Science, Health, and Health Professions, Link Campus University, 00165 Rome, Italy.ORCID 0000-0002-1677-927X
Gianluca TestaDepartment of General Surgery and Medical Surgical Specialties, Section of Orthopaedics and Traumatology, Policlinico Rodolico-San Marco, University of Catania, 95123 Catania, Italy.ORCID 0000-0001-5246-9714
Marco SapienzaDepartment of General Surgery and Medical Surgical Specialties, Section of Orthopaedics and Traumatology, Policlinico Rodolico-San Marco, University of Catania, 95123 Catania, Italy.ORCID 0000-0002-8311-9132
Filippo FamiliariDepartment of Orthopaedic and Trauma Surgery, "Mater Domini" University Hospital, "Magna Græcia" University, 88100 Catanzaro, Italy.ORCID 0000-0002-3453-2043
Michele MercurioDepartment of Orthopaedic and Trauma Surgery, "Mater Domini" University Hospital, "Magna Græcia" University, 88100 Catanzaro, Italy.ORCID 0000-0002-8742-5612
Giorgio GaspariniDepartment of Orthopaedic and Trauma Surgery, "Mater Domini" University Hospital, "Magna Græcia" University, 88100 Catanzaro, Italy.ORCID 0000-0002-8256-7697
Sergio de SalvatoreDepartment of General Surgery and Medical Surgical Specialties, Orthopedics Unit, Bambino Gesù Pediatric Hospital, 00165 Rome, Italy.ORCID 0000-0002-9111-3638
Fabrizio DonatiDepartment of General Surgery and Medical Surgical Specialties, Orthopedics Unit, Bambino Gesù Pediatric Hospital, 00165 Rome, Italy.
Federico CanaveseOrthopedic and Traumatology Department, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Vito PavoneDepartment of General Surgery and Medical Surgical Specialties, Section of Orthopaedics and Traumatology, Policlinico Rodolico-San Marco, University of Catania, 95123 Catania, Italy.ORCID 0000-0001-5664-8066

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceOrthopedicsPediatricsChildDeep LearningHumansartificial intelligencebone age assessmentclinical decision supportdeep learningdevelopmental dysplasia of the hipfracture detectionmachine learningmedical imagingpediatric orthopedicsspinal deformities

Identifiers

PMID40572641
PMCPMC12195277

What OpenQuestion 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 OpenQuestion graph.