Evidence map›Paper›PMID 39767239›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Computer-Aided Diagnosis in Spontaneous Abortion: A Histopathology Dataset and Benchmark for Products of Conception.

Tahir Mahmood, Zeeshan Ullah, Atif Latif, Binish Arif Sultan, Muhammad Zubair, Zahid Ullah, AbuZar Ansari, Talat Zehra, Shahzad Ahmed, Naqqash Dilshad

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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.

Tahir MahmoodDivision of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, Republic of Korea.ORCID 0000-0003-1691-9532
Zeeshan UllahDepartment of Neurophysiology, Cork University Hospital, T12 DC4A Cork, Ireland.
Atif LatifDepartment of Computer Science and Artificial Intelligence, Dongguk University, Seoul 04620, Republic of Korea.
Binish Arif SultanDepartment of Pathology, Jinnah Sindh Medical University, Karachi 75510, Pakistan.ORCID 0009-0003-7389-6493
Muhammad ZubairInterdisciplinary Research Center for Finance and Digital Economy, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.ORCID 0000-0003-2694-9364
Zahid UllahDivision of AI Software Convergence, Dongguk University, Seoul 04620, Republic of Korea.ORCID 0000-0002-0184-7620
AbuZar AnsariDepartment of Obstetrics and Gynecology, Ewha Woman's University, Seoul 07985, Republic of Korea.
Talat ZehraDepartment of Pathology, Jinnah Sindh Medical University, Karachi 75510, Pakistan.
Shahzad AhmedDepartment of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0002-4661-2956
Naqqash DilshadDepartment of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous abortion, commonly known as miscarriage, is a significant concern during early pregnancy. Histopathological examination of tissue samples is a widely used method to diagnose and classify tissue phenotypes found in products of conception (POC) after spontaneous abortion.

Indexed as

artificial intelligencedeep learningspontaneous abortiontissue phenotyping

Identifiers

PMID39767239
PMCPMC11675500

What OpenQuestion holds

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LicenceCC BY
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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.