Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 28, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Integration of 2D and 3D Imaging Descriptors with Large Language Models for Assessing Pediatric Foreign-Body

Dario Gregori1,2, Cinzia Anna Maria Papappicco1,2,3, Dario Vucinic1

  • 1Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35131 Padova, Italy.

Children (Basel, Switzerland)
|May 27, 2026
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clinical evaluation of large language model recommendations in melanoma: comparison with multidisciplinary tumor board decisions in a real-world cohort.

Frontiers in oncology·2026
Same author

Global inequities in the adoption of innovative clinical trial designs: a cross-sectional analysis of ClinicalTrials.gov.

BMJ open·2026
Same author

Ill Fate of Rectal Mucinous Adenocarcinoma: A Defect in Immunosurveillance or a Mucin Coating Effect?-The IMMUNOREACT 20 Study.

Cancers·2026
Same author

Development of a Radiologic Nomogram to Predict Invasiveness in Pulmonary Pure Ground-Glass Opacities: Analysis of the GORDON Cohort.

Cancers·2026
Same author

Hidden in Plain Sight: Unmasking a Pseudoaneurysm Without Contrast.

Diagnostics (Basel, Switzerland)·2026
Same author

When a Pulmonary Nodule Mimics Malignancy: Primary Granular Cell Tumor of the Lung.

Diagnostics (Basel, Switzerland)·2026

This study introduces a new method using 3D scanning and AI to assess foreign-body aspiration risks in children. The approach objectively evaluates object shape and size, improving safety standards and prevention strategies.

Area of Science:

  • Pediatric Emergency Medicine
  • Biomedical Engineering
  • Artificial Intelligence in Healthcare

Background:

  • Foreign-body aspiration (FBA) is a frequent, preventable pediatric emergency.
  • Current risk assessment relies on limited object size and anecdotal data.
  • Need for objective methods to evaluate FBA hazards.

Purpose of the Study:

  • To develop and validate a workflow for objective FBA risk assessment.
  • Integrate 3D scanning, radiomic features, and large language models (LLMs).
  • Support product design, safety policies, and caregiver education.

Main Methods:

  • Utilized 3D scanning and 2D imaging of retrieved objects from registries.
  • Computed morphometric descriptors (volume, sphericity, etc.) from 3D models.
Keywords:
3D/2D imaging analysisaspiration risk assessmentforeign-body aspirationinjury preventionlarge language modelspediatric airwaypediatric safetyradiomic features

More Related Videos

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

Related Experiment Videos

Last Updated: May 28, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

  • Applied LLM reasoning for risk interpretation and narrative synthesis.

    • Main Results:

    • Developed a method combining 2D/3D morphometry with LLM analysis.
    • Demonstrated objective assessment of FBA risks based on object characteristics.
    • Case study illustrated high-risk potential of an irregular object.

    Conclusions:

    • The integrated approach offers objective FBA hazard assessment.
    • Potential to enhance product safety and inform prevention strategies.
    • Facilitates improved caregiver education on aspiration risks.