Evidence map›Paper›PMID 41300947›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Deep Learning for Sex Estimation from Whole-Foot X-Rays: Benchmarking CNNs for Rapid Forensic Identification.

Rukiye Çiftçi, İpek Atik, Özgür Eken, Monira I Aldhahi

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Rukiye ÇiftçiDepartment of Anatomy, Medical Faculty, Gaziantep Islam Science and Technology University, Gaziantep 28010, Turkey.
İpek AtikDepartment of Electrical Electronics Engineering, Gaziantep Islam Science and Technology University, Gaziantep 27010, Turkey.ORCID 0000-0002-9761-1347
Özgür EkenDepartment of Physical Education and Sport Teaching, Faculty of Sports Sciences, Inonu University, Malatya 44280, Turkey.ORCID 0000-0002-5488-3158
Monira I AldhahiDepartment of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0002-5255-4860

Funding

Princess Nourah Bint Abdulrahman University PNURSP2024R286
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

convolutional neural networks (CNNs)deep learning benchmarkingfootfoot radiographsforensic applicationssex estimation

Identifiers

PMID41300947
PMCPMC12651919

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.