Evidence map›Paper›PMID 42042417›Full record

ArticleInsects2026

Deep Learning Approach for Species Identification of Forensically Important

Sen Hou, Jiali Su, Xinyi Yao, Xinglin Li, Jinliang Du, Jianxia Li, Futeng Jiang, Yang Xia, Shuguang Zhang, Wen Cui and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Insects, 2026. 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

12 authors.

Sen HouSchool of Forensic Medicine, Jining Medical University, Jining 272067, China.
Jiali SuSchool of Forensic Medicine, Jining Medical University, Jining 272067, China.
Xinyi YaoSchool of Forensic Medicine, Jining Medical University, Jining 272067, China.
Xinglin LiCollege of Computer Science, Nankai University, Tianjin 300350, China.
Jinliang DuSchool of Forensic Medicine, Jining Medical University, Jining 272067, China.
Jianxia LiSchool of Forensic Medicine, Jining Medical University, Jining 272067, China.
Futeng JiangSchool of Forensic Medicine, Jining Medical University, Jining 272067, China.
Yang XiaDepartment of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410083, China.ORCID 0000-0003-1266-0690
Shuguang ZhangDepartment of Forensic Science, School of Basic Medical Sciences, Inner Mongolia Medical University, Hohhot 010110, China.
Wen CuiSchool of Forensic Medicine, Jining Medical University, Jining 272067, China.
Yequan WangSchool of Forensic Medicine, Jining Medical University, Jining 272067, China.
Lipin RenSchool of Forensic Medicine, Jining Medical University, Jining 272067, China.ORCID 0000-0002-4097-0955

Funding

Natural Science Foundation of Hunan Province 2023JJ40797Natural Science Foundation of Inner Mongolia Autonomous Region 2025MS08083Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, China (Academy of Forensic Science) KF202303Special Foundation of Taishan Scholars Program tsqn202507262
6 · The paper itself

Abstract

Accurate species identification of necrophagous flies is fundamental to forensic entomology, particularly for postmortem interval (PMI) estimation in decomposed remains. Here, we conducted a targeted carrion-baited survey along the Shandong Peninsula and documented 15

Indexed as

deep learningforensic entomologyimage classificationsarcophagid fliesViT-LoRA

Identifiers

PMID42042417
PMCPMC13116862

What OpenQuestion holds

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Registered trials

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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.