Evidence map›Paper›PMID 40003543›Full record

ArticleLife (Basel, Switzerland)2025

Artificial Intelligence in the Surgery-First Approach: Harnessing Deep Learning for Enhanced Condylar Reshaping Analysis: A Retrospective Study.

Umberto Committeri, Gabriele Monarchi, Massimiliano Gilli, Angela Rosa Caso, Federica Sacchi, Vincenzo Abbate, Stefania Troise, Giuseppe Consorti, Francesco Giovacchini, Valeria Mitro and 2 more

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 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. Review
  2. Article
  3. Article
  4. 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

12 authors.

Umberto CommitteriDepartment of Maxillo-Facial Surgery, Hospital of Perugia, Sant'Andrea delle Fratte, 06132 Perugia, Italy.ORCID 0000-0002-9444-0052
Gabriele MonarchiDepartment of Medicine, Section of Maxillo-Facial Surgery, University of Siena, Viale Bracci, 53100 Siena, Italy.ORCID 0000-0001-7489-3794
Massimiliano GilliDepartment of Maxillo-Facial Surgery, Hospital of Perugia, Sant'Andrea delle Fratte, 06132 Perugia, Italy.ORCID 0000-0001-5407-0862
Angela Rosa CasoDepartment of Medicine, Section of Maxillo-Facial Surgery, University of Siena, Viale Bracci, 53100 Siena, Italy.
Federica SacchiDepartment of Medicine, Section of Maxillo-Facial Surgery, University of Siena, Viale Bracci, 53100 Siena, Italy.
Vincenzo AbbateDepartment of Maxillofacial Surgery, Federico II University of Naples, 80131 Naples, Italy.ORCID 0000-0002-7905-0531
Stefania TroiseDepartment of Maxillofacial Surgery, Federico II University of Naples, 80131 Naples, Italy.ORCID 0000-0001-8421-0328
Giuseppe ConsortiDivision of Maxillofacial Surgery, Department of Neurological Sciences, Marche University Hospitals-Umberto I, 60126 Ancona, Italy.ORCID 0000-0002-3508-5847
Francesco GiovacchiniDepartment of Maxillo-Facial Surgery, Hospital of Perugia, Sant'Andrea delle Fratte, 06132 Perugia, Italy.
Valeria MitroDepartment of Maxillo-Facial Surgery, Hospital of Perugia, Sant'Andrea delle Fratte, 06132 Perugia, Italy.ORCID 0000-0003-2562-3389
Paolo BalerciaDivision of Maxillofacial Surgery, Department of Neurological Sciences, Marche University Hospitals-Umberto I, 60126 Ancona, Italy.
Antonio TullioDepartment of Surgery and Biomedical Sciences, Section of Maxillo-Facial Surgery, University of Perugia, 06129 Perugia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

3D workflowartificial intelligencedeep learningorthognathic surgerysurgery-first approach

Identifiers

PMID40003543
PMCPMC11856240

What OpenQuestion holds

Textmetadata
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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.