Evidence map›Paper›PMID 41594243›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Clinical Validation of a Deep Learning-Based 2D Ultrasound Steatosis Algorithm: Cutoff Transferability, Scanner Generalizability, and Comparison with FibroScan.

Jennifer Tai, Tse-Hwa Hsu, Cheng-Jen Chen, Ming-Ling Chang, Chihung Lin, Shiu-Feng Huang, Le Lu, Adam P Harrison, Dar-In Tai

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

9 authors.

Jennifer TaiDepartment of Gastroenterology and Hepatology, Chang Gung Memorial Hospital at Linkou, Taoyuan 333423, Taiwan.ORCID 0000-0002-0500-8867
Tse-Hwa HsuDepartment of Gastroenterology and Hepatology, Chang Gung Memorial Hospital at Linkou, Taoyuan 333423, Taiwan.
Cheng-Jen ChenDepartment of Gastroenterology and Hepatology, Chang Gung Memorial Hospital at Linkou, Taoyuan 333423, Taiwan.ORCID 0000-0002-0903-0682
Ming-Ling ChangDepartment of Gastroenterology and Hepatology, Chang Gung Memorial Hospital at Linkou, Taoyuan 333423, Taiwan.ORCID 0000-0003-4902-4401
Chihung LinCenter for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan.
Shiu-Feng HuangInstitute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan, Miaoli 35053, Taiwan.
Le LuDAMO Academy, Alibaba Group, New York, NY 10014, USA.ORCID 0000-0002-6799-9416
Adam P HarrisonResearch Division, Riverain Technologies, Miamisburg, OH 45342, USA.ORCID 0000-0003-3315-1772
Dar-In TaiDepartment of Gastroenterology and Hepatology, Chang Gung Memorial Hospital at Linkou, Taoyuan 333423, Taiwan.ORCID 0000-0003-1054-1583

Funding

Chang Gung Memorial Hospital CMRPG3P0261
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

2D ultrasoundcontrolled attenuation parameterdeep learningdiagnostic performanceliver histologyliver steatosisquantitative ultrasound

Identifiers

PMID41594243
PMCPMC12840080

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.