Evidence map›Paper›PMID 41300848›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Deep Learning-Based Automatic Muscle Segmentation of the Thigh Using Lower Extremity CT Images.

Young Jae Kim, Ji-Eun Kim, Yeonho Park, Jae Won Chai, Kwang Gi Kim, Ja-Young Choi

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Young Jae KimGachon Biomedical & Convergence Institute, Gachon University Gil Medical Center, Incheon 21565, Republic of Korea.
Ji-Eun KimDepartment of Radiology, Yeouido St. Mary's Hospital, Seoul 07345, Republic of Korea.
Yeonho ParkDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Jae Won ChaiDepartment of Radiology, SMC-SNU Boramae Hospital, Seoul 07061, Republic of Korea.ORCID 0000-0003-1630-1863
Kwang Gi KimDepartment of Biomedical Engineering, College of Medicine, Gachon University, Incheon 21999, Republic of Korea.ORCID 0000-0001-9714-6038
Ja-Young ChoiDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.

Funding

Ministry of Trade, Industry and Energy RS-2025-02305698National Research Foundation of Korea NRF-2017M3A9D8064198
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

computed tomographydeep learningsegmentationthigh musclevolumetry

Identifiers

PMID41300848
PMCPMC12650866

What Socratic 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 Socratic graph.