Evidence map›Paper›PMID 40256961›Full record

ArticleThyroid : official journal of the American Thyroid Association2025

Combining Ultrasound Imaging and Molecular Testing in a Multimodal Deep Learning Model for Risk Stratification of Indeterminate Thyroid Nodules.

Shreeram Athreya, Andrew Melehy, Sujit Silas Armstrong Suthahar, Vedrana Ivezić, Ashwath Radhachandran, Vivek R Sant, Chace Moleta, Henry Zheng, Maitraya Patel, Rinat Masamed and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Thyroid : official journal of the American Thyroid Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

14 authors.

Shreeram AthreyaDepartment of Electrical and Computer Engineering, UCLA, Los Angeles, California, USA.ORCID 0000-0001-5051-2723
Andrew MelehyDepartment of Surgery, UCLA, Los Angeles, California, USA.
Sujit Silas Armstrong SuthaharDepartment of Bioengineering, UCLA, Los Angeles, California, USA.
Vedrana IvezićMedical Informatics, UCLA, Los Angeles, California, USA.
Ashwath RadhachandranDepartment of Bioengineering, UCLA, Los Angeles, California, USA.
Vivek R SantDepartment of Surgery, UT Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0002-7688-7790
Chace MoletaDepartment of Pathology and Laboratory Medicine, UCLA, Los Angeles, California, USA.
Henry ZhengMedical Informatics, UCLA, Los Angeles, California, USA.
Maitraya PatelDepartment of Radiological Sciences, UCLA, Los Angeles, California, USA.ORCID 0000-0003-3329-3615
Rinat MasamedDepartment of Radiological Sciences, UCLA, Los Angeles, California, USA.
Masha LivhitsDepartment of Surgery, UCLA, Los Angeles, California, USA.
Michael YehDepartment of Surgery, UCLA, Los Angeles, California, USA.
Corey W ArnoldDepartment of Electrical and Computer Engineering, UCLA, Los Angeles, California, USA.
William SpeierDepartment of Bioengineering, UCLA, Los Angeles, California, USA.

Funding

Predicting the Presence of Clinically Significant Thyroid Cancer using Ultrasound ImagingR21EB030691 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SPEIER, WILLIAM F · 2021 to 2023
$586k
NIBIB NIH HHS R21 EB030691
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningThyroid NeoplasmsThyroid NoduleAdultAgedBiopsy, Fine-NeedleFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentSensitivity and SpecificityUltrasonographyattentionindeterminate nodulesmultiple instance learningthyroid cancerultrasound

Identifiers

PMID40256961
PMCPMC13090821

What OpenQuestion holds

Textmetadata
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.