Evidence map›Paper›PMID 42351483›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification.

Nagalakshmi Jegannathan, Xiaoman Zhang, Jia Xuan Seow, Menghan Zhou, Long Wang, Guo Lin Goh, Seow Ye Heng, Tony De Rong Ng, Rick Siow Mong Goh, Huazhu Fu and 9 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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

19 authors.

Nagalakshmi JegannathanDepartment of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.ORCID 0009-0009-2854-7140
Xiaoman ZhangInstitute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.
Jia Xuan SeowDepartment of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.ORCID 0009-0005-4193-295X
Menghan ZhouInstitute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.
Long WangInstitute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.
Guo Lin GohSchool of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore.
Seow Ye HengDepartment of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.
Tony De Rong NgMinistry of Health Holdings, Singapore 139691, Singapore.
Rick Siow Mong GohInstitute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.
Huazhu FuInstitute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.
Yong LiuInstitute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.
Lionel Tim-Ee ChengDepartment of Cardiothoracic and Abdominal Radiology, Singapore General Hospital, Singapore 169608, Singapore.ORCID 0000-0002-1068-7868
George Boon Bee GohDepartment of Gastroenterology and Hepatology, Singapore General Hospital, Singapore 169608, Singapore.ORCID 0000-0001-8221-5299
Dean TaiHistoIndex Pte., Ltd., Singapore 117674, Singapore.ORCID 0000-0002-6166-5618
Chee Leong ChengDepartment of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.ORCID 0000-0002-2140-4827
Wei Keat WanDepartment of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.
Tony Kiat Hon LimDepartment of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.
Li Yan KhorDepartment of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.ORCID 0000-0001-6622-9447
Wei Qiang LeowDepartment of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.ORCID 0000-0001-6003-9837

Funding

AI Singapore Tech Challenge Funding Scheme AISG2-TC-2021-003
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

deep learning pipelinehepatic steatosisMASLDsegmentation model

Identifiers

PMID42351483
PMCPMC13298593

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.