Evidence map›Paper›PMID 42014522›Full record

ArticleInternational journal of legal medicine2026

Automated femoral measurement from postmortem computed tomographic images using artificial intelligence for forensic stature estimation in a Japanese population.

Suguru Torimitsu, Hisahiro Ikari, Shigeki Tsuneya, Yukiko Uemura, Mio Okada, Masatoshi Kojima, Fumiko Chiba, Hirotaro Iwase, Eiryo Kawakami, Yohsuke Makino

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Suguru TorimitsuDepartment of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. torimitsu@m.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0003-4891-8673
Hisahiro IkariDepartment of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Shigeki TsuneyaDepartment of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yukiko UemuraDepartment of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Mio OkadaDepartment of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Masatoshi KojimaEducation and Research Center of Legal Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Fumiko ChibaDepartment of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hirotaro IwaseEducation and Research Center of Legal Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Eiryo KawakamiDepartment of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Yohsuke MakinoDepartment of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial intelligenceAutomatic measurementFemurForensic anthropologyJapanesePostmortem computed tomography

Identifiers

PMID42014522
PMCPMC13499874

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.