Evidence map›Paper›PMID 40116908›Full record

ReviewInternational journal of legal medicine2025

The current state of forensic imaging - perspectives.

Fabrice Dedouit, Mathilde Ducloyer, Jamie Elifritz, Natalie L Adolphi, Grace Wong Yi-Li, Summer Decker, Jonathan Ford, Yanko Kolev, Michael Thali

Abstract readReview
In one paragraph

Review in International journal of legal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
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  5. Article
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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

9 authors.

Fabrice DedouitDepartment of Forensic Pathology, Bâtiment Raymonde Fournet, Place du Dr Baylac, Hôpital Purpan, Toulouse, 31700, France. dedouit.f@chu-toulouse.fr.ORCID http://orcid.org/0000-0003-3300-1272
Mathilde DucloyerDepartment of Forensic Pathology, Nantes University, University Hospital, Bd Jean Monnet, Nantes, F-44000, France.
Jamie ElifritzForensic Radiology Group, Anderson, SC, USA.
Natalie L AdolphiOffice of the Medical Investigator, University of New Mexico, Albuquerque, NM, 87131, USA.
Grace Wong Yi-LiDepartment of Radiology, Penang General Hospital, Jalan Residensi, Georgetown, Penang, 10450, Malaysia.
Summer DeckerDepartments of Radiology and Pathology, University of Southern California Keck School of Medicine, 1450 San Pablo Street, Suite 3500, Los Angeles, CA, 90033, USA.
Jonathan FordDepartments of Radiology and Pathology, University of Southern California Keck School of Medicine, 1450 San Pablo Street, Suite 3500, Los Angeles, CA, 90033, USA.
Yanko KolevDepartment of General Medicine, Forensic Medicine and Deontology, Medical University-Pleven, 1 St Kliment Ohridski str, Pleven, 5800, Bulgaria.
Michael ThaliUniversity Zurich, Virtopsy Group, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This fourth part of the review of the current state of forensic imaging describes the future potential influence of artificial intelligence in forensic imaging. In addition to this important point, training in forensic imaging is discussed in detail, as are the documentation possibilities offered by non-conventional imaging tools such as photography, photogrammetry, 3D surface scanning and 3D print casts.

Indexed as

Artificial IntelligenceForensic SciencesForensic ImagingHumansImaging, Three-DimensionalPhotogrammetryPhotographyPrinting, Three-Dimensional3D printing3D surface scanningForensic imagingForensic sciencePhotogrammetry

Identifiers

PMID40116908
PMCPMC12532732

What OpenQuestion holds

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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.